Dziennik zmian wersji interfejsu API na potrzeby wdrażania elementu Microsoft.MachineLearningServices/workspaces/jobs
W tym artykule opisano właściwości zmienione w każdej wersji interfejsu API dla Microsoft.MachineLearningServices/workspaces/jobs. Obejmuje tylko właściwości, które są dostępne podczas wdrożeń.
2024-07-01-preview
Dodane:
- forecastingSettings.targetLags.jobInputType
- forecastingSettings.targetLags.value
- forecastingSettings.targetLags.uri
- fineTuningDetails
- fineTuningDetails.model
- fineTuningDetails.model.description
- fineTuningDetails.model.jobInputType
- fineTuningDetails.model.mode
- fineTuningDetails.model.uri
- fineTuningDetails.taskType
- fineTuningDetails.trainingData
- fineTuningDetails.trainingData.description
- fineTuningDetails.trainingData.jobInputType
- fineTuningDetails.trainingData.mode
- fineTuningDetails.trainingData.uri
- fineTuningDetails.trainingData.value
- fineTuningDetails.validationData
- fineTuningDetails.validationData.description
- fineTuningDetails.validationData.jobInputType
- fineTuningDetails.validationData.mode
- fineTuningDetails.validationData.uri
- fineTuningDetails.validationData.value
- fineTuningDetails.modelProvider
- fineTuningDetails.hyperParameters
- fineTuningDetails.hyperParameters.batchSize
- fineTuningDetails.hyperParameters.learningRateMultiplier
- fineTuningDetails.hyperParameters.nEpochs
- fineTuningDetails.hyperParameters. {niestandardowa właściwość}
- resources.instanceTypes
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
Usunięte:
- forecastingSettings.targetLags.policyType
- forecastingSettings.targetLags.truncationPercentage
- Zadania
- Zadania. {niestandardowa właściwość}
- Ustawienia
- sourceJobId
- archiwum
Aktualizowano:
- properties.services. {customized property}.properties.taskDetails.trainingData.trainingSettings.stackEnsembleSettings.trainingSettings.sweepSettings.earlyTermination.trainingSettings.limitSettings.outputs.jobType — dodane wartości: "FineTuning" (wymagane) — usunięte wartości: "Pipeline" (wymagane)
- properties.services. {customized property}.properties.taskDetails.trainingData.trainingSettings.stackEnsembleSettings.trainingSettings.sweepSettings.earlyTermination.trainingSettings.limitSettings.outputs.outputs został zmieniony na wymagany.
2024-04-01
Dodane:
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails.blockedTrainingAlgorithms
- taskDetails.enableDnnTraining
- taskDetails.enableModelExplainability
- taskDetails.enableOnnxCompatibleModels
- taskDetails.enableStackEnsemble
- taskDetails.enableVoteEnsemble
- taskDetails.ensembleModelDownloadTimeout
- taskDetails.stackEnsembleSettings
- taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- cvSplitColumnNames
- Parametry
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.policyType
- forecastingSettings.targetLags.truncationPercentage
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.timeSeriesIdColumnNames.useStl
- forecastingSettings.limitSettings
- forecastingSettings.limitSettings.enableEarlyTermination
- forecastingSettings.limitSettings.exitScore
- forecastingSettings.limitSettings.maxConcurrentTrials
- forecastingSettings.limitSettings.maxCoresPerTrial
- forecastingSettings.limitSettings.maxTrials
- forecastingSettings.limitSettings.timeout
- forecastingSettings.limitSettings.trialTimeout
- forecastingSettings.nCrossValidations
- forecastingSettings.nCrossValidations.mode
- forecastingSettings.nCrossValidations.value
- forecastingSettings.primaryMetric
- forecastingSettings.testData
- forecastingSettings.testData.description
- forecastingSettings.testData.jobInputType
- forecastingSettings.testData.mode
- forecastingSettings.testData.uri
- forecastingSettings.testDataSize
- forecastingSettings.trainingSettings
- forecastingSettings.trainingSettings.allowedTrainingAlgorithms
- forecastingSettings.trainingSettings.uri
- forecastingSettings.validationDataSize
- forecastingSettings.weightColumnName
- forecastingSettings.taskType
- forecastingSettings.modelSettings
- forecastingSettings.modelSettings.advancedSettings
- forecastingSettings.modelSettings.amsGradient
- forecastingSettings.modelSettings.augmentations
- forecastingSettings.modelSettings.beta1
- forecastingSettings.modelSettings.beta2
- forecastingSettings.modelSettings.checkpointFrequency
- forecastingSettings.modelSettings.checkpointModel
- forecastingSettings.modelSettings.checkpointModel.description
- forecastingSettings.modelSettings.checkpointModel.jobInputType
- forecastingSettings.modelSettings.checkpointModel.mode
- forecastingSettings.modelSettings.checkpointModel.uri
- forecastingSettings.modelSettings.checkpointRunId
- forecastingSettings.modelSettings.distributed
- forecastingSettings.modelSettings.earlyStopping
- forecastingSettings.modelSettings.earlyStoppingDelay
- forecastingSettings.modelSettings.earlyStoppingPatience
- forecastingSettings.modelSettings.enableOnnxNormalization
- forecastingSettings.modelSettings.evaluationFrequency
- forecastingSettings.modelSettings.gradientAccumulationStep
- forecastingSettings.modelSettings.layersToFreeze
- forecastingSettings.modelSettings.learningRate
- forecastingSettings.modelSettings.learningRateScheduler
- forecastingSettings.modelSettings.modelName
- forecastingSettings.modelSettings.momentum
- forecastingSettings.modelSettings.nesterov
- forecastingSettings.modelSettings.numberOfEpochs
- forecastingSettings.modelSettings.numberOfWorkers
- forecastingSettings.modelSettings.optimizer
- forecastingSettings.modelSettings.randomSeed
- forecastingSettings.modelSettings.stepLRGamma
- forecastingSettings.modelSettings.stepLRStepSize
- forecastingSettings.modelSettings.trainingBatchSize
- forecastingSettings.modelSettings.trainingCropSize
- forecastingSettings.modelSettings.validationBatchSize
- forecastingSettings.modelSettings.validationCropSize
- forecastingSettings.modelSettings.validationResizeSize
- forecastingSettings.modelSettings.warmupCosineLRCycles
- forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.modelSettings.weightDecay
- forecastingSettings.modelSettings.weightedLoss
- forecastingSettings.searchSpace
- forecastingSettings.evaluationFrequency
- forecastingSettings.gradientAccumulationStep
- forecastingSettings.layersToFreeze
- forecastingSettings.learningRate
- forecastingSettings.learningRateScheduler
- forecastingSettings.modelName
- forecastingSettings.momentum
- forecastingSettings.nesterov
- forecastingSettings.numberOfEpochs
- forecastingSettings.numberOfWorkers
- forecastingSettings.optimizer
- forecastingSettings.randomSeed
- forecastingSettings.stepLRGamma
- forecastingSettings.stepLRStepSize
- forecastingSettings.trainingBatchSize
- forecastingSettings.trainingCropSize
- forecastingSettings.validationBatchSize
- forecastingSettings.validationCropSize
- forecastingSettings.validationResizeSizeSize
- forecastingSettings.warmupCosineLRCycles
- forecastingSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.weightDecay
- forecastingSettings.weightedLoss
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- trainingSettings.blockedTrainingAlgorithms
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
Usunięte:
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- outputs.assetName
- outputs.assetVersion
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- outputs.pathOnCompute
- queueSettings.priority
- resources.locations
- taskDetails.trainingData.pathOnCompute
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.learningRate
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.modelName
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- testData.pathOnCompute
- trainingSettings.cvSplitColumnNames
- trainingSettings.cvSplitColumnNames.featurizationSettings
- trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.booster
- trainingSettings.fixedParameters.boostingType
- trainingSettings.fixedParameters.growPolicy
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.maxBin
- trainingSettings.fixedParameters.maxDepth
- trainingSettings.fixedParameters.maxLeaves
- trainingSettings.fixedParameters.minDataInLeaf
- trainingSettings.fixedParameters.minSplitGain
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.nEstimators
- trainingSettings.fixedParameters.numLeaves
- trainingSettings.fixedParameters.preprocessorName
- trainingSettings.fixedParameters.regAlpha
- trainingSettings.fixedParameters.regLambda
- trainingSettings.fixedParameters.subsample
- trainingSettings.fixedParameters.subsampleFreq
- trainingSettings.fixedParameters.treeMethod
- trainingSettings.fixedParameters.withMean
- trainingSettings.fixedParameters.withStd
- trainingSettings.forecastingSettings
- trainingSettings.forecastingSettings.countryOrRegionForHolidays
- trainingSettings.forecastingSettings.cvStepSize
- trainingSettings.forecastingSettings.featureLags
- trainingSettings.forecastingSettings.featuresUnknownAtForecastTime
- trainingSettings.forecastingSettings.mode
- trainingSettings.forecastingSettings.value
- trainingSettings.frequency
- trainingSettings.seasonality
- trainingSettings.seasonality.mode
- trainingSettings.seasonality.value
- trainingSettings.shortSeriesHandlingConfig
- trainingSettings.targetAggregateFunction
- trainingSettings.targetLags
- trainingSettings.targetLags.mode
- trainingSettings.targetLags.values
- trainingSettings.targetLags.jobInputType
- trainingSettings.targetLags.value
- trainingSettings.targetLags.pathOnCompute
- trainingSettings.targetLags.uri
- trainingSettings.targetRollingWindowSize
- trainingSettings.targetRollingWindowSize.mode
- trainingSettings.targetRollingWindowSize.value
- trainingSettings.timeColumnName
- trainingSettings.timeSeriesIdColumnNames
- trainingSettings.minSplitGain
- trainingSettings.modelName
- trainingSettings.nEstimators
- trainingSettings.numLeaves
- trainingSettings.preprocessorName
- trainingSettings.regAlpha
- trainingSettings.regLambda
- trainingSettings.subsample
- trainingSettings.subsampleFreq
- trainingSettings.treeMethod
- trainingSettings.withMean
- trainingSettings.withStd
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.pathOnCompute
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- trainingSettings.learningRateScheduler
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingBatchSize
- trainingSettings.trainingCropSize
- trainingSettings.validationBatchSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.weightedLoss
- logTrainingMetrics
- logValidationLoss
- maxBin
- maxDepth
- maxLeaves
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.gradientAccumulationSteps
- trainingSettings.learningRate
- trainingSettings.warmupRatio
- validationData.pathOnCompute
- fixedParameters
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRate
- fixedParameters.learningRateScheduler
- fixedParameters.modelName
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- warmupRatio
- autologgerSettings
- autologgerSettings.mlflowAutologger
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- inputs.pathOnCompute
- resources.locations.maxInstanceCount
- resources.locations.properties
- resources.locations.properties. {niestandardowa właściwość}
- resources.locations.shmSize
- resources.jobType
- resources.fineTuningDetails
- resources.fineTuningDetails.model
- resources.fineTuningDetails.model.description
- resources.fineTuningDetails.model.jobInputType
- resources.fineTuningDetails.model.mode
- resources.fineTuningDetails.model.pathOnCompute
- resources.fineTuningDetails.model.uri
- resources.fineTuningDetails.taskType
- resources.fineTuningDetails.trainingData
- resources.fineTuningDetails.trainingData.description
- resources.fineTuningDetails.trainingData.jobInputType
- resources.fineTuningDetails.trainingData.mode
- resources.fineTuningDetails.trainingData.pathOnCompute
- resources.fineTuningDetails.trainingData.uri
- resources.fineTuningDetails.trainingData.value
- resources.fineTuningDetails.validationData
- resources.fineTuningDetails.validationData.description
- resources.fineTuningDetails.validationData.jobInputType
- resources.fineTuningDetails.validationData.mode
- resources.fineTuningDetails.validationData.pathOnCompute
- resources.fineTuningDetails.validationData.uri
- resources.fineTuningDetails.validationData.value
- resources.fineTuningDetails.modelProvider
- resources.fineTuningDetails.hyperParameters
- resources.fineTuningDetails.hyperParameters.batchSize
- resources.fineTuningDetails.hyperParameters.learningRateMultiplier
- resources.fineTuningDetails.hyperParameters.nEpochs
- resources.fineTuningDetails.hyperParameters. {niestandardowa właściwość}
- resources.outputs
- resources.outputs. {niestandardowa właściwość}
- resources.outputs.description
- resources.outputs.jobOutputType
- resources.outputs.assetName
- resources.outputs.assetVersion
- resources.outputs.autoDeleteSetting
- resources.outputs.autoDeleteSetting.condition
- resources.outputs.autoDeleteSetting.value
- resources.outputs.mode
- resources.outputs.pathOnCompute
- resources.outputs.uri
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefresh
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelect
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- samplingAlgorithmType
- logbase
- reguła
- nasienie
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.address
- trial.distribution.dashboardPort
- trial.distribution.headNodeAdditionalArgs
- trial.distribution.includeDashboard
- trial.distribution.port
- trial.distribution.workerNodeAdditionalArgs
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.locations
- trial.resources.shmSize
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — dodano wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
2024-04-01-preview
Brak nowych lub zaktualizowanych właściwości
2024-01-01-preview
Dodane:
- properties.notificationSetting
- properties.notificationSetting.emailOn
- properties.notificationSetting.email
- properties.notificationSetting.webhooks
- properties.notificationSetting.webhooks. {niestandardowa właściwość}
- properties.notificationSetting.webhooks.eventType
- properties.notificationSetting.webhooks.webhookType
- Właściwości. {niestandardowa właściwość}
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- usługi
- usługi. {niestandardowa właściwość}
- services.endpoint
- services.jobServiceType
- services.nodes
- services.nodes.nodesValueType
- services.port
- services.properties
- services.properties. {niestandardowa właściwość}
- outputs.assetName
- outputs.assetVersion
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- outputs.pathOnCompute
- queueSettings.priority
- resources.locations
- taskDetails.trainingData.pathOnCompute
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.learningRate
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.modelName
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- testData.pathOnCompute
- trainingSettings.cvSplitColumnNames
- trainingSettings.cvSplitColumnNames.featurizationSettings
- trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.booster
- trainingSettings.fixedParameters.boostingType
- trainingSettings.fixedParameters.growPolicy
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.maxBin
- trainingSettings.fixedParameters.maxDepth
- trainingSettings.fixedParameters.maxLeaves
- trainingSettings.fixedParameters.minDataInLeaf
- trainingSettings.fixedParameters.minSplitGain
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.nEstimators
- trainingSettings.fixedParameters.numLeaves
- trainingSettings.fixedParameters.preprocessorName
- trainingSettings.fixedParameters.regAlpha
- trainingSettings.fixedParameters.regLambda
- trainingSettings.fixedParameters.subsample
- trainingSettings.fixedParameters.subsampleFreq
- trainingSettings.fixedParameters.treeMethod
- trainingSettings.fixedParameters.withMean
- trainingSettings.fixedParameters.withStd
- trainingSettings.forecastingSettings
- trainingSettings.forecastingSettings.countryOrRegionForHolidays
- trainingSettings.forecastingSettings.cvStepSize
- trainingSettings.forecastingSettings.featureLags
- trainingSettings.forecastingSettings.featuresUnknownAtForecastTime
- trainingSettings.forecastingSettings.mode
- trainingSettings.forecastingSettings.value
- trainingSettings.frequency
- trainingSettings.seasonality
- trainingSettings.seasonality.mode
- trainingSettings.seasonality.value
- trainingSettings.shortSeriesHandlingConfig
- trainingSettings.targetAggregateFunction
- trainingSettings.targetLags
- trainingSettings.targetLags.mode
- trainingSettings.targetLags.values
- trainingSettings.targetLags.jobInputType
- trainingSettings.targetLags.value
- trainingSettings.targetLags.pathOnCompute
- trainingSettings.targetLags.uri
- trainingSettings.targetRollingWindowSize
- trainingSettings.targetRollingWindowSize.mode
- trainingSettings.targetRollingWindowSize.value
- trainingSettings.timeColumnName
- trainingSettings.timeSeriesIdColumnNames
- trainingSettings.minSplitGain
- trainingSettings.modelName
- trainingSettings.nEstimators
- trainingSettings.numLeaves
- trainingSettings.preprocessorName
- trainingSettings.regAlpha
- trainingSettings.regLambda
- trainingSettings.subsample
- trainingSettings.subsampleFreq
- trainingSettings.treeMethod
- trainingSettings.withMean
- trainingSettings.withStd
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.pathOnCompute
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- trainingSettings.learningRateScheduler
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingBatchSize
- trainingSettings.trainingCropSize
- trainingSettings.validationBatchSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.weightedLoss
- logTrainingMetrics
- logValidationLoss
- maxBin
- maxDepth
- maxLeaves
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.gradientAccumulationSteps
- trainingSettings.learningRate
- trainingSettings.warmupRatio
- validationData.pathOnCompute
- fixedParameters
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRate
- fixedParameters.learningRateScheduler
- fixedParameters.modelName
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- warmupRatio
- autologgerSettings
- autologgerSettings.mlflowAutologger
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- inputs.pathOnCompute
- resources.locations.maxInstanceCount
- resources.locations.properties
- resources.locations.properties. {niestandardowa właściwość}
- resources.locations.shmSize
- resources.jobType
- resources.fineTuningDetails
- resources.fineTuningDetails.model
- resources.fineTuningDetails.model.description
- resources.fineTuningDetails.model.jobInputType
- resources.fineTuningDetails.model.mode
- resources.fineTuningDetails.model.pathOnCompute
- resources.fineTuningDetails.model.uri
- resources.fineTuningDetails.taskType
- resources.fineTuningDetails.trainingData
- resources.fineTuningDetails.trainingData.description
- resources.fineTuningDetails.trainingData.jobInputType
- resources.fineTuningDetails.trainingData.mode
- resources.fineTuningDetails.trainingData.pathOnCompute
- resources.fineTuningDetails.trainingData.uri
- resources.fineTuningDetails.trainingData.value
- resources.fineTuningDetails.validationData
- resources.fineTuningDetails.validationData.description
- resources.fineTuningDetails.validationData.jobInputType
- resources.fineTuningDetails.validationData.mode
- resources.fineTuningDetails.validationData.pathOnCompute
- resources.fineTuningDetails.validationData.uri
- resources.fineTuningDetails.validationData.value
- resources.fineTuningDetails.modelProvider
- resources.fineTuningDetails.hyperParameters
- resources.fineTuningDetails.hyperParameters.batchSize
- resources.fineTuningDetails.hyperParameters.learningRateMultiplier
- resources.fineTuningDetails.hyperParameters.nEpochs
- resources.fineTuningDetails.hyperParameters. {niestandardowa właściwość}
- resources.outputs
- resources.outputs. {niestandardowa właściwość}
- resources.outputs.description
- resources.outputs.jobOutputType
- resources.outputs.assetName
- resources.outputs.assetVersion
- resources.outputs.autoDeleteSetting
- resources.outputs.autoDeleteSetting.condition
- resources.outputs.autoDeleteSetting.value
- resources.outputs.mode
- resources.outputs.pathOnCompute
- resources.outputs.uri
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefresh
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelect
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- archiwum
- samplingAlgorithmType
- logbase
- reguła
- nasienie
- trial.distribution.address
- trial.distribution.dashboardPort
- trial.distribution.headNodeAdditionalArgs
- trial.distribution.includeDashboard
- trial.distribution.port
- trial.distribution.workerNodeAdditionalArgs
- trial.resources.locations
Usunięte:
- properties.properties
- properties.properties. {niestandardowa właściwość}
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.nodes
- properties.services.nodes.nodesValueType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails.blockedTrainingAlgorithms
- taskDetails.enableDnnTraining
- taskDetails.enableModelExplainability
- taskDetails.enableOnnxCompatibleModels
- taskDetails.enableStackEnsemble
- taskDetails.enableVoteEnsemble
- taskDetails.ensembleModelDownloadTimeout
- taskDetails.stackEnsembleSettings
- taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- cvSplitColumnNames
- Parametry
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.timeSeriesIdColumnNames.useStl
- forecastingSettings.limitSettings
- forecastingSettings.limitSettings.enableEarlyTermination
- forecastingSettings.limitSettings.exitScore
- forecastingSettings.limitSettings.maxConcurrentTrials
- forecastingSettings.limitSettings.maxCoresPerTrial
- forecastingSettings.limitSettings.maxTrials
- forecastingSettings.limitSettings.timeout
- forecastingSettings.limitSettings.trialTimeout
- forecastingSettings.nCrossValidations
- forecastingSettings.nCrossValidations.mode
- forecastingSettings.nCrossValidations.value
- forecastingSettings.primaryMetric
- forecastingSettings.testData
- forecastingSettings.testData.description
- forecastingSettings.testData.jobInputType
- forecastingSettings.testData.mode
- forecastingSettings.testData.uri
- forecastingSettings.testDataSize
- forecastingSettings.trainingSettings
- forecastingSettings.trainingSettings.allowedTrainingAlgorithms
- forecastingSettings.trainingSettings.uri
- forecastingSettings.validationDataSize
- forecastingSettings.weightColumnName
- forecastingSettings.taskType
- forecastingSettings.modelSettings
- forecastingSettings.modelSettings.advancedSettings
- forecastingSettings.modelSettings.amsGradient
- forecastingSettings.modelSettings.augmentations
- forecastingSettings.modelSettings.beta1
- forecastingSettings.modelSettings.beta2
- forecastingSettings.modelSettings.checkpointFrequency
- forecastingSettings.modelSettings.checkpointModel
- forecastingSettings.modelSettings.checkpointModel.description
- forecastingSettings.modelSettings.checkpointModel.jobInputType
- forecastingSettings.modelSettings.checkpointModel.mode
- forecastingSettings.modelSettings.checkpointModel.uri
- forecastingSettings.modelSettings.checkpointRunId
- forecastingSettings.modelSettings.distributed
- forecastingSettings.modelSettings.earlyStopping
- forecastingSettings.modelSettings.earlyStoppingDelay
- forecastingSettings.modelSettings.earlyStoppingPatience
- forecastingSettings.modelSettings.enableOnnxNormalization
- forecastingSettings.modelSettings.evaluationFrequency
- forecastingSettings.modelSettings.gradientAccumulationStep
- forecastingSettings.modelSettings.layersToFreeze
- forecastingSettings.modelSettings.learningRate
- forecastingSettings.modelSettings.learningRateScheduler
- forecastingSettings.modelSettings.modelName
- forecastingSettings.modelSettings.momentum
- forecastingSettings.modelSettings.nesterov
- forecastingSettings.modelSettings.numberOfEpochs
- forecastingSettings.modelSettings.numberOfWorkers
- forecastingSettings.modelSettings.optimizer
- forecastingSettings.modelSettings.randomSeed
- forecastingSettings.modelSettings.stepLRGamma
- forecastingSettings.modelSettings.stepLRStepSize
- forecastingSettings.modelSettings.trainingBatchSize
- forecastingSettings.modelSettings.trainingCropSize
- forecastingSettings.modelSettings.validationBatchSize
- forecastingSettings.modelSettings.validationCropSize
- forecastingSettings.modelSettings.validationResizeSize
- forecastingSettings.modelSettings.warmupCosineLRCycles
- forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.modelSettings.weightDecay
- forecastingSettings.modelSettings.weightedLoss
- forecastingSettings.searchSpace
- forecastingSettings.evaluationFrequency
- forecastingSettings.gradientAccumulationStep
- forecastingSettings.layersToFreeze
- forecastingSettings.learningRate
- forecastingSettings.learningRateScheduler
- forecastingSettings.modelName
- forecastingSettings.momentum
- forecastingSettings.nesterov
- forecastingSettings.numberOfEpochs
- forecastingSettings.numberOfWorkers
- forecastingSettings.optimizer
- forecastingSettings.randomSeed
- forecastingSettings.stepLRGamma
- forecastingSettings.stepLRStepSize
- forecastingSettings.trainingBatchSize
- forecastingSettings.trainingCropSize
- forecastingSettings.validationBatchSize
- forecastingSettings.validationCropSize
- forecastingSettings.validationResizeSizeSize
- forecastingSettings.warmupCosineLRCycles
- forecastingSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.weightDecay
- forecastingSettings.weightedLoss
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- trainingSettings.blockedTrainingAlgorithms
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — usunięte wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — dodano wartości: "Direct"
2023-10-01
Dodane:
- properties.properties
- properties.properties. {niestandardowa właściwość}
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.nodes
- properties.services.nodes.nodesValueType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails.blockedTrainingAlgorithms
- taskDetails.enableDnnTraining
- taskDetails.enableModelExplainability
- taskDetails.enableOnnxCompatibleModels
- taskDetails.enableStackEnsemble
- taskDetails.enableVoteEnsemble
- taskDetails.ensembleModelDownloadTimeout
- taskDetails.stackEnsembleSettings
- taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- cvSplitColumnNames
- Parametry
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.timeSeriesIdColumnNames.useStl
- forecastingSettings.limitSettings
- forecastingSettings.limitSettings.enableEarlyTermination
- forecastingSettings.limitSettings.exitScore
- forecastingSettings.limitSettings.maxConcurrentTrials
- forecastingSettings.limitSettings.maxCoresPerTrial
- forecastingSettings.limitSettings.maxTrials
- forecastingSettings.limitSettings.timeout
- forecastingSettings.limitSettings.trialTimeout
- forecastingSettings.nCrossValidations
- forecastingSettings.nCrossValidations.mode
- forecastingSettings.nCrossValidations.value
- forecastingSettings.primaryMetric
- forecastingSettings.testData
- forecastingSettings.testData.description
- forecastingSettings.testData.jobInputType
- forecastingSettings.testData.mode
- forecastingSettings.testData.uri
- forecastingSettings.testDataSize
- forecastingSettings.trainingSettings
- forecastingSettings.trainingSettings.allowedTrainingAlgorithms
- forecastingSettings.trainingSettings.uri
- forecastingSettings.validationDataSize
- forecastingSettings.weightColumnName
- forecastingSettings.taskType
- forecastingSettings.modelSettings
- forecastingSettings.modelSettings.advancedSettings
- forecastingSettings.modelSettings.amsGradient
- forecastingSettings.modelSettings.augmentations
- forecastingSettings.modelSettings.beta1
- forecastingSettings.modelSettings.beta2
- forecastingSettings.modelSettings.checkpointFrequency
- forecastingSettings.modelSettings.checkpointModel
- forecastingSettings.modelSettings.checkpointModel.description
- forecastingSettings.modelSettings.checkpointModel.jobInputType
- forecastingSettings.modelSettings.checkpointModel.mode
- forecastingSettings.modelSettings.checkpointModel.uri
- forecastingSettings.modelSettings.checkpointRunId
- forecastingSettings.modelSettings.distributed
- forecastingSettings.modelSettings.earlyStopping
- forecastingSettings.modelSettings.earlyStoppingDelay
- forecastingSettings.modelSettings.earlyStoppingPatience
- forecastingSettings.modelSettings.enableOnnxNormalization
- forecastingSettings.modelSettings.evaluationFrequency
- forecastingSettings.modelSettings.gradientAccumulationStep
- forecastingSettings.modelSettings.layersToFreeze
- forecastingSettings.modelSettings.learningRate
- forecastingSettings.modelSettings.learningRateScheduler
- forecastingSettings.modelSettings.modelName
- forecastingSettings.modelSettings.momentum
- forecastingSettings.modelSettings.nesterov
- forecastingSettings.modelSettings.numberOfEpochs
- forecastingSettings.modelSettings.numberOfWorkers
- forecastingSettings.modelSettings.optimizer
- forecastingSettings.modelSettings.randomSeed
- forecastingSettings.modelSettings.stepLRGamma
- forecastingSettings.modelSettings.stepLRStepSize
- forecastingSettings.modelSettings.trainingBatchSize
- forecastingSettings.modelSettings.trainingCropSize
- forecastingSettings.modelSettings.validationBatchSize
- forecastingSettings.modelSettings.validationCropSize
- forecastingSettings.modelSettings.validationResizeSize
- forecastingSettings.modelSettings.warmupCosineLRCycles
- forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.modelSettings.weightDecay
- forecastingSettings.modelSettings.weightedLoss
- forecastingSettings.searchSpace
- forecastingSettings.evaluationFrequency
- forecastingSettings.gradientAccumulationStep
- forecastingSettings.layersToFreeze
- forecastingSettings.learningRate
- forecastingSettings.learningRateScheduler
- forecastingSettings.modelName
- forecastingSettings.momentum
- forecastingSettings.nesterov
- forecastingSettings.numberOfEpochs
- forecastingSettings.numberOfWorkers
- forecastingSettings.optimizer
- forecastingSettings.randomSeed
- forecastingSettings.stepLRGamma
- forecastingSettings.stepLRStepSize
- forecastingSettings.trainingBatchSize
- forecastingSettings.trainingCropSize
- forecastingSettings.validationBatchSize
- forecastingSettings.validationCropSize
- forecastingSettings.validationResizeSizeSize
- forecastingSettings.warmupCosineLRCycles
- forecastingSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.weightDecay
- forecastingSettings.weightedLoss
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- trainingSettings.blockedTrainingAlgorithms
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
Usunięte:
- properties.notificationSetting
- properties.notificationSetting.emailOn
- properties.notificationSetting.email
- properties.notificationSetting.webhooks
- properties.notificationSetting.webhooks. {niestandardowa właściwość}
- properties.notificationSetting.webhooks.eventType
- properties.notificationSetting.webhooks.webhookType
- Właściwości. {niestandardowa właściwość}
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- usługi
- usługi. {niestandardowa właściwość}
- services.endpoint
- services.jobServiceType
- services.nodes
- services.nodes.nodesValueType
- services.port
- services.properties
- services.properties. {niestandardowa właściwość}
- outputs.assetName
- outputs.assetVersion
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- queueSettings.priority
- resources.locations
- taskDetails.sweepTrials
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.learningRate
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.modelName
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.blockedTransformers
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings.featuresUnknownAtForecastTime
- forecastingSettings.mode
- forecastingSettings.value
- częstotliwość
- Sezonowości
- sezonowość.mode
- sezonowość.value
- shortSeriesHandlingConfig
- targetAggregateFunction
- targetLags
- targetLags.mode
- targetLags.values
- targetLags.distributionType
- targetLags.address
- targetLags.dashboardPort
- targetLags.headNodeAdditionalArgs
- targetLags.includeDashboard
- targetLags.port
- targetLags.workerNodeAdditionalArgs
- targetLags.parameterServerCount
- targetLags.workerCount
- targetRollingWindowSize
- targetRollingWindowSize.mode
- targetRollingWindowSize.value
- timeColumnName
- timeSeriesIdColumnNames
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- trainingSettings.maxConcurrentTrials
- trainingSettings.maxTrials
- trainingSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointFrequency
- modelSettings.checkpointModel
- modelSettings.checkpointModel.description
- modelSettings.checkpointModel.jobInputType
- modelSettings.checkpointModel.mode
- modelSettings.checkpointModel.uri
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- trainingCropSize
- validationCropSize
- validationResizeSizeSize
- ważoneLoss
- logTrainingMetrics
- logValidationLoss
- maxBin
- maxDepth
- maxLeaves
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- trainingSettings.datasetLanguage
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRateScheduler
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- gradientAccumulationKroki
- warmupRatio
- autologgerSettings
- autologgerSettings.mlflowAutologger
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- resources.mlAssistConfiguration
- resources.mlAssistConfiguration.mlAssist
- resources.mlAssistConfiguration.inferencingComputeBinding
- resources.mlAssistConfiguration.trainingComputeBinding
- resources.jobType
- resources.inputs
- resources.inputs. {niestandardowa właściwość}
- resources.inputs.description
- resources.inputs.jobInputType
- resources.inputs.mode
- resources.inputs.uri
- resources.inputs.value
- archiwum
- opis
- jobOutputType
- assetName
- assetVersion
- autoDeleteSetting
- autoDeleteSetting.condition
- autoDeleteSetting.value
- tryb
- Uri
- pyFiles
- samplingAlgorithmType
- logbase
- reguła
- nasienie
- trial.distribution.address
- trial.distribution.dashboardPort
- trial.distribution.headNodeAdditionalArgs
- trial.distribution.includeDashboard
- trial.distribution.port
- trial.distribution.workerNodeAdditionalArgs
- trial.resources.locations
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — dodano wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — usunięte wartości: "Direct"
2023-08-01-preview
Dodane:
- targetLags.distributionType
- targetLags.address
- targetLags.dashboardPort
- targetLags.headNodeAdditionalArgs
- targetLags.includeDashboard
- targetLags.port
- targetLags.workerNodeAdditionalArgs
- targetLags.parameterServerCount
- targetLags.workerCount
- opis
- jobOutputType
- assetName
- assetVersion
- autoDeleteSetting
- autoDeleteSetting.condition
- autoDeleteSetting.value
- tryb
- Uri
- samplingAlgorithmType
- logbase
- reguła
- nasienie
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.address
- trial.distribution.dashboardPort
- trial.distribution.headNodeAdditionalArgs
- trial.distribution.includeDashboard
- trial.distribution.port
- trial.distribution.workerNodeAdditionalArgs
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.locations
- trial.resources.shmSize
Usunięte:
- Lokalizacje
- identityType
- clientId
- objectId
- resourceId
2023-06-01-preview
Dodane:
- properties.notificationSetting
- properties.notificationSetting.emailOn
- properties.notificationSetting.email
- properties.notificationSetting.webhooks
- properties.notificationSetting.webhooks. {niestandardowa właściwość}
- properties.notificationSetting.webhooks.eventType
- properties.notificationSetting.webhooks.webhookType
- Właściwości. {niestandardowa właściwość}
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- usługi
- usługi. {niestandardowa właściwość}
- services.endpoint
- services.jobServiceType
- services.nodes
- services.nodes.nodesValueType
- services.port
- services.properties
- services.properties. {niestandardowa właściwość}
- outputs.assetName
- outputs.assetVersion
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- queueSettings
- queueSettings.jobTier
- queueSettings.priority
- resources.locations
- taskDetails.sweepTrials
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.learningRate
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.modelName
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.blockedTransformers
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings.featuresUnknownAtForecastTime
- forecastingSettings.mode
- forecastingSettings.value
- częstotliwość
- Sezonowości
- sezonowość.mode
- sezonowość.value
- shortSeriesHandlingConfig
- targetAggregateFunction
- targetLags
- targetLags.mode
- targetLags.values
- targetRollingWindowSize
- targetRollingWindowSize.mode
- targetRollingWindowSize.value
- timeColumnName
- timeSeriesIdColumnNames
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- trainingSettings.maxConcurrentTrials
- trainingSettings.maxTrials
- trainingSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointFrequency
- modelSettings.checkpointModel
- modelSettings.checkpointModel.description
- modelSettings.checkpointModel.jobInputType
- modelSettings.checkpointModel.mode
- modelSettings.checkpointModel.uri
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- trainingCropSize
- validationCropSize
- validationResizeSizeSize
- ważoneLoss
- logTrainingMetrics
- logValidationLoss
- maxBin
- maxDepth
- maxLeaves
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- trainingSettings.datasetLanguage
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRateScheduler
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- gradientAccumulationKroki
- warmupRatio
- autologgerSettings
- autologgerSettings.mlflowAutologger
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- resources.mlAssistConfiguration
- resources.mlAssistConfiguration.mlAssist
- resources.mlAssistConfiguration.inferencingComputeBinding
- resources.mlAssistConfiguration.trainingComputeBinding
- resources.jobType
- resources.inputs
- resources.inputs. {niestandardowa właściwość}
- resources.inputs.description
- resources.inputs.jobInputType
- resources.inputs.mode
- resources.inputs.uri
- resources.inputs.value
- archiwum
- pyFiles
- Lokalizacje
- identityType
- clientId
- objectId
- resourceId
Usunięte:
- properties.properties
- properties.properties. {niestandardowa właściwość}
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.nodes
- properties.services.nodes.nodesValueType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.jobInputType
- forecastingSettings.targetLags.value
- forecastingSettings.targetLags.uri
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.useStl
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.weightColumnName
- trainingSettings.taskType
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- trainingSettings.earlyStoppingDelay
- trainingSettings.earlyStoppingPatience
- trainingSettings.enableOnnxNormalization
- trainingSettings.evaluationFrequency
- trainingSettings.gradientAccumulationStep
- trainingSettings.layersToFreeze
- trainingSettings.learningRate
- trainingSettings.learningRateScheduler
- trainingSettings.modelName
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingBatchSize
- trainingSettings.trainingCropSize
- trainingSettings.validationBatchSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.weightedLoss
- Rozproszonych
- earlyStopping
- earlyStoppingDelay
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — usunięte wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — dodano wartości: "Direct"
2023-04-01
Dodane:
- properties.properties
- properties.properties. {niestandardowa właściwość}
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.nodes
- properties.services.nodes.nodesValueType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.jobInputType
- forecastingSettings.targetLags.value
- forecastingSettings.targetLags.uri
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.useStl
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.weightColumnName
- trainingSettings.taskType
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- trainingSettings.earlyStoppingDelay
- trainingSettings.earlyStoppingPatience
- trainingSettings.enableOnnxNormalization
- trainingSettings.evaluationFrequency
- trainingSettings.gradientAccumulationStep
- trainingSettings.layersToFreeze
- trainingSettings.learningRate
- trainingSettings.learningRateScheduler
- trainingSettings.modelName
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingBatchSize
- trainingSettings.trainingCropSize
- trainingSettings.validationBatchSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.weightedLoss
- Rozproszonych
- earlyStopping
- earlyStoppingDelay
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
Usunięte:
- properties.notificationSetting
- properties.notificationSetting.emailOn
- properties.notificationSetting.email
- properties.notificationSetting.webhooks
- properties.notificationSetting.webhooks. {niestandardowa właściwość}
- properties.notificationSetting.webhooks.eventType
- properties.notificationSetting.webhooks.webhookType
- Właściwości. {niestandardowa właściwość}
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- usługi
- usługi. {niestandardowa właściwość}
- services.endpoint
- services.jobServiceType
- services.nodes
- services.nodes.nodesValueType
- services.port
- services.properties
- services.properties. {niestandardowa właściwość}
- outputs.assetName
- outputs.assetVersion
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- queueSettings
- queueSettings.jobTier
- queueSettings.priority
- resources.locations
- taskDetails.sweepTrials
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.learningRate
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.modelName
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.blockedTransformers
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings.featuresUnknownAtForecastTime
- forecastingSettings.mode
- forecastingSettings.value
- częstotliwość
- Sezonowości
- sezonowość.mode
- sezonowość.value
- shortSeriesHandlingConfig
- targetAggregateFunction
- targetLags
- targetLags.mode
- targetLags.values
- targetRollingWindowSize
- targetRollingWindowSize.mode
- targetRollingWindowSize.value
- timeColumnName
- timeSeriesIdColumnNames
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- trainingSettings.maxConcurrentTrials
- trainingSettings.maxTrials
- trainingSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointFrequency
- modelSettings.checkpointModel
- modelSettings.checkpointModel.description
- modelSettings.checkpointModel.jobInputType
- modelSettings.checkpointModel.mode
- modelSettings.checkpointModel.uri
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- trainingCropSize
- validationCropSize
- validationResizeSizeSize
- ważoneLoss
- logTrainingMetrics
- logValidationLoss
- maxBin
- maxDepth
- maxLeaves
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- trainingSettings.datasetLanguage
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRateScheduler
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- gradientAccumulationKroki
- warmupRatio
- autologgerSettings
- autologgerSettings.mlflowAutologger
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- resources.mlAssistConfiguration
- resources.mlAssistConfiguration.mlAssist
- resources.mlAssistConfiguration.inferencingComputeBinding
- resources.mlAssistConfiguration.trainingComputeBinding
- resources.jobType
- resources.inputs
- resources.inputs. {niestandardowa właściwość}
- resources.inputs.description
- resources.inputs.jobInputType
- resources.inputs.mode
- resources.inputs.uri
- resources.inputs.value
- archiwum
- pyFiles
- Lokalizacje
- identityType
- clientId
- objectId
- resourceId
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — dodano wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — usunięte wartości: "Direct"
2023-04-01-preview
Dodane:
- properties.notificationSetting.webhooks
- properties.notificationSetting.webhooks. {niestandardowa właściwość}
- properties.notificationSetting.webhooks.eventType
- properties.notificationSetting.webhooks.webhookType
- Właściwości. {niestandardowa właściwość}
- secretsConfiguration
- secretsConfiguration. {niestandardowa właściwość}
- secretsConfiguration.uri
- secretsConfiguration.workspaceSecretName
- usługi
- usługi. {niestandardowa właściwość}
- services.endpoint
- services.jobServiceType
- services.nodes
- services.nodes.nodesValueType
- services.port
- services.properties
- services.properties. {niestandardowa właściwość}
- outputs.autoDeleteSetting
- outputs.autoDeleteSetting.condition
- outputs.autoDeleteSetting.value
- taskDetails
- taskDetails.logVerbosity
- taskDetails.targetColumnName
- taskDetails.trainingData
- taskDetails.trainingData.description
- taskDetails.trainingData.jobInputType
- taskDetails.trainingData.mode
- taskDetails.trainingData.uri
- taskDetails.taskType
- taskDetails.cvSplitColumnNames
- taskDetails.sweepTrials
- taskDetails.timeout
- taskDetails.trialTimeout
- positiveLabel
- trainingSettings.featurizationSettings.blockedTransformers
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.featuresUnknownAtForecastTime
- forecastingSettings.mode
- forecastingSettings.value
- częstotliwość
- Sezonowości
- sezonowość.mode
- sezonowość.value
- shortSeriesHandlingConfig
- targetAggregateFunction
- targetLags
- targetLags.mode
- targetLags.values
- targetRollingWindowSize
- targetRollingWindowSize.mode
- targetRollingWindowSize.value
- timeColumnName
- timeSeriesIdColumnNames
- trainingSettings.maxConcurrentTrials
- trainingSettings.maxTrials
- trainingSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointFrequency
- modelSettings.checkpointModel
- modelSettings.checkpointModel.description
- modelSettings.checkpointModel.jobInputType
- modelSettings.checkpointModel.mode
- modelSettings.checkpointModel.uri
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- impet
- nesterov
- numberOfEpochs
- numberOfWorkers
- Optymalizator
- randomSeed
- stepLRGamma
- stepLRStepSize
- trainingBatchSize
- trainingCropSize
- validationCropSize
- validationResizeSizeSize
- warmupCosineLRCycles
- warmupCosineLRWarmupEpochs
- ważoneLoss
- layersToFreeze
- learningRateScheduler
- logTrainingMetrics
- logValidationLoss
- maxSize
- minSize
- modelSize
- wieloskalowa
- nmsIouThreshold
- tileGridSize
- tileOverlapRatio
- tilePredictionsNmsThreshold
- validationIouThreshold
- validationMetricType
- trainingSettings.datasetLanguage
- gradientAccumulationKroki
- autologgerSettings
- autologgerSettings.mlflowAutologger
- codeId
- distribution.address
- distribution.dashboardPort
- distribution.headNodeAdditionalArgs
- distribution.includeDashboard
- distribution.port
- distribution.workerNodeAdditionalArgs
- resources.mlAssistConfiguration
- resources.mlAssistConfiguration.mlAssist
- resources.mlAssistConfiguration.inferencingComputeBinding
- resources.mlAssistConfiguration.trainingComputeBinding
- pyFiles
- Lokalizacje
- identityType
- clientId
- objectId
- resourceId
Usunięte:
- properties.properties
- properties.properties. {niestandardowa właściwość}
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.nodes
- properties.services.nodes.nodesValueType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- resources.taskDetails
- resources.taskDetails.logVerbosity
- resources.taskDetails.targetColumnName
- resources.taskDetails.trainingData
- resources.taskDetails.trainingData.description
- resources.taskDetails.trainingData.jobInputType
- resources.taskDetails.trainingData.mode
- resources.taskDetails.trainingData.uri
- resources.taskDetails.taskType
- resources.taskDetails.cvSplitColumnNames
- resources.taskDetails.sweepConcurrentTrials
- resources.taskDetails.sweepTrials
- resources.taskDetails.timeout
- resources.taskDetails.trialTimeout
- resources.nCrossValidations
- resources.nCrossValidations.mode
- resources.nCrossValidations.value
- resources.positiveLabel
- resources.primaryMetric
- resources.searchSpace
- resources.searchSpace.booster
- resources.searchSpace.boostingType
- resources.searchSpace.growPolicy
- resources.searchSpace.learningRate
- resources.searchSpace.maxBin
- resources.searchSpace.maxDepth
- resources.searchSpace.maxLeaves
- resources.searchSpace.minDataInLeaf
- resources.searchSpace.minSplitGain
- resources.searchSpace.modelName
- resources.searchSpace.nEstimators
- resources.searchSpace.numLeaves
- resources.searchSpace.preprocessorName
- resources.searchSpace.regAlpha
- resources.searchSpace.regLambda
- resources.searchSpace.subsample
- resources.searchSpace.subsampleFreq
- resources.searchSpace.treeMethod
- resources.searchSpace.withMean
- resources.searchSpace.withStd
- resources.sweepSettings
- resources.sweepSettings.earlyTermination
- resources.sweepSettings.earlyTermination.delayEvaluation
- resources.sweepSettings.earlyTermination.evaluationInterval
- resources.sweepSettings.earlyTermination.policyType
- resources.sweepSettings.earlyTermination.slackAmount
- resources.sweepSettings.earlyTermination.slackFactor
- resources.sweepSettings.earlyTermination.truncationPercentage
- resources.sweepSettings.samplingAlgorithm
- resources.testData
- resources.testData.description
- resources.testData.jobInputType
- resources.testData.mode
- resources.testData.uri
- resources.testDataSize
- resources.trainingSettings
- resources.trainingSettings.allowedTrainingAlgorithms
- resources.trainingSettings.cvSplitColumnNames
- resources.trainingSettings.cvSplitColumnNames.featurizationSettings
- resources.trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
- resources.fixedParameters
- resources.fixedParameters.booster
- resources.fixedParameters.boostingType
- resources.fixedParameters.growPolicy
- resources.fixedParameters.learningRate
- resources.fixedParameters.maxBin
- resources.fixedParameters.maxDepth
- resources.fixedParameters.maxLeaves
- resources.fixedParameters.minDataInLeaf
- resources.fixedParameters.minSplitGain
- resources.fixedParameters.modelName
- resources.fixedParameters.nEstimators
- resources.fixedParameters.numLeaves
- resources.fixedParameters.preprocessorName
- resources.fixedParameters.regAlpha
- resources.fixedParameters.regLambda
- resources.fixedParameters.subsample
- resources.fixedParameters.subsampleFreq
- resources.fixedParameters.treeMethod
- resources.fixedParameters.withMean
- resources.fixedParameters.withStd
- resources.forecastingSettings
- resources.forecastingSettings.countryOrRegionForHolidays
- resources.forecastingSettings.cvStepSize
- resources.forecastingSettings.featureLags
- resources.forecastingSettings.forecastHorizon
- resources.forecastingSettings.forecastHorizon.mode
- resources.forecastingSettings.forecastHorizon.value
- resources.forecastingSettings.frequency
- resources.forecastingSettings.seasonality
- resources.forecastingSettings.seasonality.mode
- resources.forecastingSettings.seasonality.value
- resources.forecastingSettings.shortSeriesHandlingConfig
- resources.forecastingSettings.targetAggregateFunction
- resources.forecastingSettings.targetLags
- resources.forecastingSettings.targetLags.mode
- resources.forecastingSettings.targetLags.values
- resources.forecastingSettings.targetLags.jobInputType
- resources.forecastingSettings.targetLags.uri
- resources.forecastingSettings.targetRollingWindowSize
- resources.forecastingSettings.targetRollingWindowSize.mode
- resources.forecastingSettings.targetRollingWindowSize.value
- resources.forecastingSettings.timeColumnName
- resources.forecastingSettings.timeSeriesIdColumnNames
- resources.forecastingSettings.useStl
- resources.limitSettings
- resources.limitSettings.enableEarlyTermination
- resources.limitSettings.exitScore
- resources.limitSettings.maxConcurrentTrials
- resources.limitSettings.maxCoresPerTrial
- resources.limitSettings.maxNodes
- resources.limitSettings.maxTrials
- resources.limitSettings.sweepConcurrentTrials
- resources.limitSettings.sweepTrials
- resources.limitSettings.timeout
- resources.limitSettings.trialTimeout
- resources.samplingAlgorithm
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- trainingSettings.searchSpace.amsGradient
- trainingSettings.searchSpace.augmentations
- trainingSettings.searchSpace.beta1
- trainingSettings.searchSpace.beta2
- trainingSettings.searchSpace.distributed
- trainingSettings.searchSpace.earlyStopping
- trainingSettings.searchSpace.earlyStoppingDelay
- trainingSettings.searchSpace.earlyStoppingPatience
- trainingSettings.searchSpace.enableOnnxNormalization
- trainingSettings.searchSpace.evaluationFrequency
- trainingSettings.searchSpace.gradientAccumulationStep
- trainingSettings.searchSpace.layersToFreeze
- trainingSettings.searchSpace.learningRate
- trainingSettings.searchSpace.learningRateScheduler
- trainingSettings.searchSpace.modelName
- trainingSettings.searchSpace.momentum
- trainingSettings.searchSpace.nesterov
- trainingSettings.searchSpace.numberOfEpochs
- trainingSettings.searchSpace.numberOfWorkers
- trainingSettings.searchSpace.optimizer
- trainingSettings.searchSpace.randomSeed
- trainingSettings.searchSpace.stepLRGamma
- trainingSettings.searchSpace.stepLRStepSize
- trainingSettings.searchSpace.trainingBatchSize
- trainingSettings.searchSpace.trainingCropSize
- trainingSettings.searchSpace.validationBatchSize
- trainingSettings.searchSpace.validationCropSize
- trainingSettings.searchSpace.validationResizeSizeSize
- trainingSettings.searchSpace.warmupCosineLRCycles
- trainingSettings.searchSpace.warmupCosineLRWarmupEpochs
- trainingSettings.searchSpace.weightDecay
- trainingSettings.searchSpace.weightedLoss
- trainingSettings.sweepSettings
- trainingSettings.sweepSettings.earlyTermination
- trainingSettings.sweepSettings.earlyTermination.delayEvaluation
- trainingSettings.sweepSettings.earlyTermination.evaluationInterval
- trainingSettings.sweepSettings.earlyTermination.policyType
- trainingSettings.sweepSettings.earlyTermination.slackAmount
- trainingSettings.sweepSettings.earlyTermination.slackFactor
- trainingSettings.sweepSettings.earlyTermination.truncationPercentage
- trainingSettings.sweepSettings.samplingAlgorithm
- trainingSettings.validationData
- trainingSettings.validationData.description
- trainingSettings.validationData.jobInputType
- trainingSettings.validationData.mode
- trainingSettings.validationData.uri
- trainingSettings.validationDataSize
- trainingSettings.taskType
- trainingSettings.modelSettings.boxDetectionsPerImage
- trainingSettings.modelSettings.boxScoreThreshold
- trainingSettings.modelSettings.imageSize
- trainingSettings.modelSettings.maxSize
- trainingSettings.modelSettings.minSize
- trainingSettings.modelSettings.modelSize
- trainingSettings.modelSettings.multiScale
- trainingSettings.modelSettings.nmsIouThreshold
- trainingSettings.modelSettings.tileGridSize
- trainingSettings.modelSettings.tileOverlapRatio
- trainingSettings.modelSettings.tilePredictionsNmsThreshold
- trainingSettings.modelSettings.validationIouThreshold
- trainingSettings.modelSettings.validationMetricType
- trainingSettings.imageSize
- trainingSettings.layersToFreeze
- trainingSettings.learningRate
- trainingSettings.learningRateScheduler
- trainingSettings.maxSize
- trainingSettings.minSize
- trainingSettings.modelName
- trainingSettings.modelSize
- trainingSettings.momentum
- trainingSettings.multiScale
- trainingSettings.nesterov
- trainingSettings.nmsIouThreshold
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.tileGridSize
- trainingSettings.tileOverlapRatio
- trainingSettings.tilePredictionsNmsThreshold
- trainingSettings.trainingBatchSize
- trainingSettings.validationBatchSize
- trainingSettings.validationIouThreshold
- trainingSettings.validationMetricType
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.warmupRatio
- resources.autologgerSettings
- resources.autologgerSettings.mlflowAutologger
- resources.codeId
- resources.command
- resources.distribution
- resources.distribution.distributionType
- resources.distribution.processCountPerInstance
- resources.distribution.parameterServerCount
- resources.distribution.workerCount
- resources.environmentId
- resources.environmentVariables
- resources.environmentVariables. {niestandardowa właściwość}
- zasoby. {niestandardowa właściwość}
- displayName
- multiSelect
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- archives.args
- archives.codeId
- archives.conf
- archives.conf. {niestandardowa właściwość}
- archives.entry
- archives.entry.sparkJobEntryType
- archives.entry.file
- archives.entry.className
- archives.environmentId
- archives.files
- archives.jobInputType
- archives.mode
- archives.uri
- archives.value
- Słoiki
- resources.locations.properties
- resources.locations.properties. {niestandardowa właściwość}
- resources.locations.shmSize
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — usunięte wartości: "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder" (wymagane)
- properties.services. {customized property}.properties.taskDetails.trainingData.trainingSettings.stackEnsembleSettings.trainingSettings.sweepSettings.trainingSettings.sweepSettings.distribution.distributionType — dodane wartości: "Ray" (wymagane)
2023-02-01-preview
Dodane:
- properties.notificationSetting
- properties.notificationSetting.emailOn
- properties.notificationSetting.email
- queueSettings
- queueSettings.jobTier
- queueSettings.priority
- resources.locations
- resources.taskDetails
- resources.taskDetails.logVerbosity
- resources.taskDetails.targetColumnName
- resources.taskDetails.trainingData
- resources.taskDetails.trainingData.description
- resources.taskDetails.trainingData.jobInputType
- resources.taskDetails.trainingData.mode
- resources.taskDetails.trainingData.uri
- resources.taskDetails.taskType
- resources.taskDetails.cvSplitColumnNames
- resources.taskDetails.sweepConcurrentTrials
- resources.taskDetails.sweepTrials
- resources.taskDetails.timeout
- resources.taskDetails.trialTimeout
- resources.nCrossValidations
- resources.nCrossValidations.mode
- resources.nCrossValidations.value
- resources.positiveLabel
- resources.primaryMetric
- resources.searchSpace
- resources.searchSpace.booster
- resources.searchSpace.boostingType
- resources.searchSpace.growPolicy
- resources.searchSpace.learningRate
- resources.searchSpace.maxBin
- resources.searchSpace.maxDepth
- resources.searchSpace.maxLeaves
- resources.searchSpace.minDataInLeaf
- resources.searchSpace.minSplitGain
- resources.searchSpace.modelName
- resources.searchSpace.nEstimators
- resources.searchSpace.numLeaves
- resources.searchSpace.preprocessorName
- resources.searchSpace.regAlpha
- resources.searchSpace.regLambda
- resources.searchSpace.subsample
- resources.searchSpace.subsampleFreq
- resources.searchSpace.treeMethod
- resources.searchSpace.withMean
- resources.searchSpace.withStd
- resources.sweepSettings
- resources.sweepSettings.earlyTermination
- resources.sweepSettings.earlyTermination.delayEvaluation
- resources.sweepSettings.earlyTermination.evaluationInterval
- resources.sweepSettings.earlyTermination.policyType
- resources.sweepSettings.earlyTermination.slackAmount
- resources.sweepSettings.earlyTermination.slackFactor
- resources.sweepSettings.earlyTermination.truncationPercentage
- resources.sweepSettings.samplingAlgorithm
- resources.testData
- resources.testData.description
- resources.testData.jobInputType
- resources.testData.mode
- resources.testData.uri
- resources.testDataSize
- resources.trainingSettings
- resources.trainingSettings.allowedTrainingAlgorithms
- resources.trainingSettings.cvSplitColumnNames
- resources.trainingSettings.cvSplitColumnNames.featurizationSettings
- resources.trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
- resources.fixedParameters
- resources.fixedParameters.booster
- resources.fixedParameters.boostingType
- resources.fixedParameters.growPolicy
- resources.fixedParameters.learningRate
- resources.fixedParameters.maxBin
- resources.fixedParameters.maxDepth
- resources.fixedParameters.maxLeaves
- resources.fixedParameters.minDataInLeaf
- resources.fixedParameters.minSplitGain
- resources.fixedParameters.modelName
- resources.fixedParameters.nEstimators
- resources.fixedParameters.numLeaves
- resources.fixedParameters.preprocessorName
- resources.fixedParameters.regAlpha
- resources.fixedParameters.regLambda
- resources.fixedParameters.subsample
- resources.fixedParameters.subsampleFreq
- resources.fixedParameters.treeMethod
- resources.fixedParameters.withMean
- resources.fixedParameters.withStd
- resources.forecastingSettings
- resources.forecastingSettings.countryOrRegionForHolidays
- resources.forecastingSettings.cvStepSize
- resources.forecastingSettings.featureLags
- resources.forecastingSettings.forecastHorizon
- resources.forecastingSettings.forecastHorizon.mode
- resources.forecastingSettings.forecastHorizon.value
- resources.forecastingSettings.frequency
- resources.forecastingSettings.seasonality
- resources.forecastingSettings.seasonality.mode
- resources.forecastingSettings.seasonality.value
- resources.forecastingSettings.shortSeriesHandlingConfig
- resources.forecastingSettings.targetAggregateFunction
- resources.forecastingSettings.targetLags
- resources.forecastingSettings.targetLags.mode
- resources.forecastingSettings.targetLags.values
- resources.forecastingSettings.targetLags.jobInputType
- resources.forecastingSettings.targetLags.uri
- resources.forecastingSettings.targetRollingWindowSize
- resources.forecastingSettings.targetRollingWindowSize.mode
- resources.forecastingSettings.targetRollingWindowSize.value
- resources.forecastingSettings.timeColumnName
- resources.forecastingSettings.timeSeriesIdColumnNames
- resources.forecastingSettings.useStl
- resources.limitSettings
- resources.limitSettings.enableEarlyTermination
- resources.limitSettings.exitScore
- resources.limitSettings.maxConcurrentTrials
- resources.limitSettings.maxCoresPerTrial
- resources.limitSettings.maxNodes
- resources.limitSettings.maxTrials
- resources.limitSettings.sweepConcurrentTrials
- resources.limitSettings.sweepTrials
- resources.limitSettings.timeout
- resources.limitSettings.trialTimeout
- resources.samplingAlgorithm
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.searchSpace.amsGradient
- trainingSettings.searchSpace.augmentations
- trainingSettings.searchSpace.beta1
- trainingSettings.searchSpace.beta2
- trainingSettings.searchSpace.distributed
- trainingSettings.searchSpace.earlyStopping
- trainingSettings.searchSpace.earlyStoppingDelay
- trainingSettings.searchSpace.earlyStoppingPatience
- trainingSettings.searchSpace.enableOnnxNormalization
- trainingSettings.searchSpace.evaluationFrequency
- trainingSettings.searchSpace.gradientAccumulationStep
- trainingSettings.searchSpace.layersToFreeze
- trainingSettings.searchSpace.learningRate
- trainingSettings.searchSpace.learningRateScheduler
- trainingSettings.searchSpace.modelName
- trainingSettings.searchSpace.momentum
- trainingSettings.searchSpace.nesterov
- trainingSettings.searchSpace.numberOfEpochs
- trainingSettings.searchSpace.numberOfWorkers
- trainingSettings.searchSpace.optimizer
- trainingSettings.searchSpace.randomSeed
- trainingSettings.searchSpace.stepLRGamma
- trainingSettings.searchSpace.stepLRStepSize
- trainingSettings.searchSpace.trainingBatchSize
- trainingSettings.searchSpace.trainingCropSize
- trainingSettings.searchSpace.validationBatchSize
- trainingSettings.searchSpace.validationCropSize
- trainingSettings.searchSpace.validationResizeSizeSize
- trainingSettings.searchSpace.warmupCosineLRCycles
- trainingSettings.searchSpace.warmupCosineLRWarmupEpochs
- trainingSettings.searchSpace.weightDecay
- trainingSettings.searchSpace.weightedLoss
- trainingSettings.sweepSettings
- trainingSettings.sweepSettings.earlyTermination
- trainingSettings.sweepSettings.earlyTermination.delayEvaluation
- trainingSettings.sweepSettings.earlyTermination.evaluationInterval
- trainingSettings.sweepSettings.earlyTermination.policyType
- trainingSettings.sweepSettings.earlyTermination.slackAmount
- trainingSettings.sweepSettings.earlyTermination.slackFactor
- trainingSettings.sweepSettings.earlyTermination.truncationPercentage
- trainingSettings.sweepSettings.samplingAlgorithm
- trainingSettings.validationData
- trainingSettings.validationData.description
- trainingSettings.validationData.jobInputType
- trainingSettings.validationData.mode
- trainingSettings.validationData.uri
- trainingSettings.validationDataSize
- trainingSettings.modelSettings.boxDetectionsPerImage
- trainingSettings.modelSettings.boxScoreThreshold
- trainingSettings.modelSettings.imageSize
- trainingSettings.modelSettings.maxSize
- trainingSettings.modelSettings.minSize
- trainingSettings.modelSettings.modelSize
- trainingSettings.modelSettings.multiScale
- trainingSettings.modelSettings.nmsIouThreshold
- trainingSettings.modelSettings.tileGridSize
- trainingSettings.modelSettings.tileOverlapRatio
- trainingSettings.modelSettings.tilePredictionsNmsThreshold
- trainingSettings.modelSettings.validationIouThreshold
- trainingSettings.modelSettings.validationMetricType
- trainingSettings.imageSize
- trainingSettings.layersToFreeze
- trainingSettings.maxSize
- trainingSettings.minSize
- trainingSettings.modelSize
- trainingSettings.momentum
- trainingSettings.multiScale
- trainingSettings.nesterov
- trainingSettings.nmsIouThreshold
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.tileGridSize
- trainingSettings.tileOverlapRatio
- trainingSettings.tilePredictionsNmsThreshold
- trainingSettings.validationIouThreshold
- trainingSettings.validationMetricType
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- searchSpace.booster
- searchSpace.boostingType
- searchSpace.growPolicy
- searchSpace.maxBin
- searchSpace.maxDepth
- searchSpace.maxLeaves
- searchSpace.minDataInLeaf
- searchSpace.minSplitGain
- searchSpace.nEstimators
- searchSpace.numLeaves
- searchSpace.preprocessorName
- searchSpace.regAlpha
- searchSpace.regLambda
- searchSpace.subsample
- searchSpace.subsampleFreq
- searchSpace.treeMethod
- searchSpace.withMean
- searchSpace.withStd
- validationBatchSize
- warmupRatio
- weightDecay
- resources.jobType
- resources.autologgerSettings
- resources.autologgerSettings.mlflowAutologger
- resources.codeId
- resources.command
- resources.distribution
- resources.distribution.distributionType
- resources.distribution.processCountPerInstance
- resources.distribution.parameterServerCount
- resources.distribution.workerCount
- resources.environmentId
- resources.environmentVariables
- resources.environmentVariables. {niestandardowa właściwość}
- resources.inputs
- resources.inputs. {niestandardowa właściwość}
- resources.inputs.description
- resources.inputs.jobInputType
- resources.inputs.mode
- resources.inputs.uri
- resources.inputs.value
- zasoby. {niestandardowa właściwość}
- displayName
- multiSelect
- archives.jobInputType
- archives.mode
- archives.uri
- archives.value
- Słoiki
- resources.locations.properties
- resources.locations.properties. {niestandardowa właściwość}
- resources.locations.shmSize
Usunięte:
- resources.properties
- resources.properties. {niestandardowa właściwość}
- resources.shmSize
- taskDetails
- taskDetails.logVerbosity
- taskDetails.targetColumnName
- taskDetails.trainingData
- taskDetails.trainingData.description
- taskDetails.trainingData.jobInputType
- taskDetails.trainingData.mode
- taskDetails.trainingData.uri
- taskDetails.taskType
- taskDetails.cvSplitColumnNames
- taskDetails.limitSettings
- taskDetails.limitSettings.enableEarlyTermination
- taskDetails.limitSettings.exitScore
- taskDetails.limitSettings.maxConcurrentTrials
- taskDetails.limitSettings.maxCoresPerTrial
- taskDetails.limitSettings.maxNodes
- taskDetails.limitSettings.maxTrials
- taskDetails.limitSettings.sweepConcurrentTrials
- taskDetails.limitSettings.sweepTrials
- taskDetails.limitSettings.timeout
- taskDetails.limitSettings.trialTimeout
- taskDetails.nCrossValidations
- taskDetails.nCrossValidations.mode
- taskDetails.nCrossValidations.value
- taskDetails.positiveLabel
- taskDetails.primaryMetric
- taskDetails.searchSpace
- taskDetails.weightColumnName
- taskDetails.transformerParams
- taskDetails.transformerParams. {niestandardowa właściwość}
- taskDetails.transformerParams.fields
- taskDetails.transformerParams.forecastingSettings
- taskDetails.transformerParams.forecastingSettings.countryOrRegionForHolidays
- taskDetails.transformerParams.forecastingSettings.cvStepSize
- taskDetails.transformerParams.forecastingSettings.featureLags
- taskDetails.transformerParams.forecastIngSettings.forecastHorizon
- taskDetails.transformerParams.forecastingSettings.forecastHorizon.mode
- taskDetails.transformerParams.forecastingSettings.forecastHorizon.value
- taskDetails.transformerParams.forecastingSettings.frequency
- taskDetails.transformerParams.forecastingSettings.seasonality
- taskDetails.transformerParams.forecastingSettings.seasonality.mode
- taskDetails.transformerParams.forecastingSettings.seasonality.value
- taskDetails.transformerParams.forecastingSettings.shortSeriesHandlingConfig
- taskDetails.transformerParams.forecastingSettings.targetAggregateFunction
- taskDetails.transformerParams.forecastingSettings.targetLags
- taskDetails.transformerParams.forecastingSettings.targetLags.mode
- taskDetails.transformerParams.forecastingSettings.targetLags.values
- taskDetails.transformerParams.forecastingSettings.targetLags.uri
- taskDetails.transformerParams.forecastingSettings.targetLags.jobInputType
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.mode
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.value
- taskDetails.transformerParams.forecastingSettings.timeColumnName
- taskDetails.transformerParams.forecastingSettings.timeSeriesIdColumnNames
- taskDetails.transformerParams.forecastingSettings.sweepSettings
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.delayEvaluation
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.evaluationInterval
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.policyType
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackAmount
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackFactor
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.truncationPercentage
- taskDetails.transformerParams.forecastingSettings.sweepSettings.samplingAlgorithm
- taskDetails.transformerParams.forecastingSettings.testData
- taskDetails.transformerParams.forecastingSettings.testData.description
- taskDetails.transformerParams.forecastingSettings.testData.jobInputType
- taskDetails.transformerParams.forecastingSettings.testData.mode
- taskDetails.transformerParams.forecastingSettings.testData.uri
- taskDetails.transformerParams.forecastingSettings.testDataSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.allowedTrainingAlgorithms
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightColumnName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.taskType
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxConcurrentTrials
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxTrials
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.timeout
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.advancedSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.amsGradient
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.augmentations
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta1
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta2
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.description
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.jobInputType
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.mode
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.uri
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointRunId
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.distributed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStopping
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.modelName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.momentum
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationResizeSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightDecay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightedLoss
- taskDetails.transformerParams.forecastingSettings.trainingSettings.primaryMetric
- taskDetails.transformerParams.forecastingSettings.trainingSettings.searchSpace
- taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.trainingSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.trainingSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.trainingSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.momentum
- taskDetails.transformerParams.forecastingSettings.trainingSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.trainingSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.trainingSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationResizeSizeSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightDecay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightedLoss
- taskDetails.transformerParams.forecastingSettings.primaryMetric
- taskDetails.transformerParams.forecastingSettings.searchSpace
- taskDetails.transformerParams.forecastingSettings.distributed
- taskDetails.transformerParams.forecastingSettings.earlyStopping
- taskDetails.transformerParams.forecastingSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.imageSize
- taskDetails.transformerParams.forecastingSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.maxSize
- taskDetails.transformerParams.forecastingSettings.minSize
- taskDetails.transformerParams.forecastingSettings.modelName
- taskDetails.transformerParams.forecastingSettings.modelSize
- taskDetails.transformerParams.forecastingSettings.momentum
- taskDetails.transformerParams.forecastingSettings.multiScale
- taskDetails.transformerParams.forecastingSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.nmsIouThreshold
- taskDetails.transformerParams.forecastingSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.tileGridSize
- taskDetails.transformerParams.forecastingSettings.tileOverlapRatio
- taskDetails.transformerParams.forecastingSettings.tilePredictionsNmsThreshold
- taskDetails.transformerParams.forecastingSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.validationIouThreshold
- taskDetails.transformerParams.forecastingSettings.validationMetricType
- taskDetails.transformerParams.forecastingSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.weightDecay
- taskDetails.transformerParams.primaryMetric
- taskDetails.transformerParams.searchSpace
- taskDetails.transformerParams.distributed
- taskDetails.transformerParams.earlyStopping
- taskDetails.transformerParams.earlyStoppingDelay
- taskDetails.transformerParams.earlyStoppingPatience
- taskDetails.transformerParams.enableOnnxNormalization
- taskDetails.transformerParams.evaluationFrequency
- taskDetails.transformerParams.gradientAccumulationStep
- taskDetails.transformerParams.imageSize
- taskDetails.transformerParams.layersToFreeze
- taskDetails.transformerParams.learningRate
- taskDetails.transformerParams.learningRateScheduler
- taskDetails.transformerParams.maxSize
- taskDetails.transformerParams.minSize
- taskDetails.transformerParams.modelName
- taskDetails.transformerParams.modelSize
- taskDetails.transformerParams.momentum
- taskDetails.transformerParams.multiScale
- taskDetails.transformerParams.nesterov
- taskDetails.transformerParams.nmsIouThreshold
- taskDetails.transformerParams.numberOfEpochs
- taskDetails.transformerParams.numberOfWorkers
- taskDetails.transformerParams.optimizer
- taskDetails.transformerParams.randomSeed
- taskDetails.transformerParams.stepLRGamma
- taskDetails.transformerParams.stepLRStepSize
- taskDetails.transformerParams.tileGridSize
- taskDetails.transformerParams.tileOverlapRatio
- taskDetails.transformerParams.tilePredictionsNmsThreshold
- taskDetails.transformerParams.trainingBatchSize
- taskDetails.transformerParams.validationBatchSize
- taskDetails.transformerParams.validationIouThreshold
- taskDetails.transformerParams.validationMetricType
- taskDetails.transformerParams.warmupCosineLRCycles
- taskDetails.transformerParams.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.weightDecay
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- Booster
- boostingType
- growPolicy
- trainingSettings.weightColumnName
- trainingSettings.gradientAccumulationSteps
- searchSpace.gradientAccumulationSteps
- searchSpace.learningRateScheduler
- searchSpace.numberOfEpochs
- searchSpace.trainingBatchSize
- searchSpace.validationBatchSize
- searchSpace.warmupRatio
- searchSpace.weightDecay
- autologgerSettings
- autologgerSettings.mlflowAutologger
- codeId
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefresh
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelect
- archives.command
- archives.distribution
- archives.distribution.distributionType
- archives.distribution.processCountPerInstance
- archives.distribution.parameterServerCount
- archives.distribution.workerCount
- archives.environmentVariables
- archives.environmentVariables. {niestandardowa właściwość}
- archives.resources
- archives.resources.dockerArgs
- archives.resources.instanceCount
- archives.resources.instanceType
- archives.resources.properties
- archives.resources.properties. {niestandardowa właściwość}
- archives.resources.shmSize
2022-12-01-preview
Dodane:
- properties.services.nodes
- properties.services.nodes.nodesValueType
- outputs.assetName
- outputs.assetVersion
- taskDetails.limitSettings
- taskDetails.limitSettings.enableEarlyTermination
- taskDetails.limitSettings.exitScore
- taskDetails.limitSettings.maxConcurrentTrials
- taskDetails.limitSettings.maxCoresPerTrial
- taskDetails.limitSettings.maxNodes
- taskDetails.limitSettings.maxTrials
- taskDetails.limitSettings.sweepConcurrentTrials
- taskDetails.limitSettings.sweepTrials
- taskDetails.limitSettings.timeout
- taskDetails.limitSettings.trialTimeout
- taskDetails.nCrossValidations
- taskDetails.nCrossValidations.mode
- taskDetails.nCrossValidations.value
- taskDetails.positiveLabel
- taskDetails.primaryMetric
- taskDetails.searchSpace
- taskDetails.weightColumnName
- taskDetails.transformerParams
- taskDetails.transformerParams. {niestandardowa właściwość}
- taskDetails.transformerParams.fields
- taskDetails.transformerParams.forecastingSettings
- taskDetails.transformerParams.forecastingSettings.countryOrRegionForHolidays
- taskDetails.transformerParams.forecastingSettings.cvStepSize
- taskDetails.transformerParams.forecastingSettings.featureLags
- taskDetails.transformerParams.forecastIngSettings.forecastHorizon
- taskDetails.transformerParams.forecastingSettings.forecastHorizon.mode
- taskDetails.transformerParams.forecastingSettings.forecastHorizon.value
- taskDetails.transformerParams.forecastingSettings.frequency
- taskDetails.transformerParams.forecastingSettings.seasonality
- taskDetails.transformerParams.forecastingSettings.seasonality.mode
- taskDetails.transformerParams.forecastingSettings.seasonality.value
- taskDetails.transformerParams.forecastingSettings.shortSeriesHandlingConfig
- taskDetails.transformerParams.forecastingSettings.targetAggregateFunction
- taskDetails.transformerParams.forecastingSettings.targetLags
- taskDetails.transformerParams.forecastingSettings.targetLags.mode
- taskDetails.transformerParams.forecastingSettings.targetLags.values
- taskDetails.transformerParams.forecastingSettings.targetLags.uri
- taskDetails.transformerParams.forecastingSettings.targetLags.jobInputType
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.mode
- taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.value
- taskDetails.transformerParams.forecastingSettings.timeColumnName
- taskDetails.transformerParams.forecastingSettings.timeSeriesIdColumnNames
- taskDetails.transformerParams.forecastingSettings.sweepSettings
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.delayEvaluation
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.evaluationInterval
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.policyType
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackAmount
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackFactor
- taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.truncationPercentage
- taskDetails.transformerParams.forecastingSettings.sweepSettings.samplingAlgorithm
- taskDetails.transformerParams.forecastingSettings.testData
- taskDetails.transformerParams.forecastingSettings.testData.description
- taskDetails.transformerParams.forecastingSettings.testData.jobInputType
- taskDetails.transformerParams.forecastingSettings.testData.mode
- taskDetails.transformerParams.forecastingSettings.testData.uri
- taskDetails.transformerParams.forecastingSettings.testDataSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.allowedTrainingAlgorithms
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightColumnName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.taskType
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxConcurrentTrials
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxTrials
- taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.timeout
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.advancedSettings
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.amsGradient
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.augmentations
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta1
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta2
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.description
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.jobInputType
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.mode
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.uri
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointRunId
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.distributed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStopping
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.modelName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.momentum
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationResizeSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightDecay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightedLoss
- taskDetails.transformerParams.forecastingSettings.trainingSettings.primaryMetric
- taskDetails.transformerParams.forecastingSettings.trainingSettings.searchSpace
- taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.trainingSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.trainingSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.trainingSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.trainingSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.trainingSettings.modelName
- taskDetails.transformerParams.forecastingSettings.trainingSettings.momentum
- taskDetails.transformerParams.forecastingSettings.trainingSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.trainingSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.trainingSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationCropSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.validationResizeSizeSize
- taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightDecay
- taskDetails.transformerParams.forecastingSettings.trainingSettings.weightedLoss
- taskDetails.transformerParams.forecastingSettings.primaryMetric
- taskDetails.transformerParams.forecastingSettings.searchSpace
- taskDetails.transformerParams.forecastingSettings.distributed
- taskDetails.transformerParams.forecastingSettings.earlyStopping
- taskDetails.transformerParams.forecastingSettings.earlyStoppingDelay
- taskDetails.transformerParams.forecastingSettings.earlyStoppingPatience
- taskDetails.transformerParams.forecastingSettings.enableOnnxNormalization
- taskDetails.transformerParams.forecastingSettings.evaluationFrequency
- taskDetails.transformerParams.forecastingSettings.gradientAccumulationStep
- taskDetails.transformerParams.forecastingSettings.imageSize
- taskDetails.transformerParams.forecastingSettings.layersToFreeze
- taskDetails.transformerParams.forecastingSettings.learningRate
- taskDetails.transformerParams.forecastingSettings.learningRateScheduler
- taskDetails.transformerParams.forecastingSettings.maxSize
- taskDetails.transformerParams.forecastingSettings.minSize
- taskDetails.transformerParams.forecastingSettings.modelName
- taskDetails.transformerParams.forecastingSettings.modelSize
- taskDetails.transformerParams.forecastingSettings.momentum
- taskDetails.transformerParams.forecastingSettings.multiScale
- taskDetails.transformerParams.forecastingSettings.nesterov
- taskDetails.transformerParams.forecastingSettings.nmsIouThreshold
- taskDetails.transformerParams.forecastingSettings.numberOfEpochs
- taskDetails.transformerParams.forecastingSettings.numberOfWorkers
- taskDetails.transformerParams.forecastingSettings.optimizer
- taskDetails.transformerParams.forecastingSettings.randomSeed
- taskDetails.transformerParams.forecastingSettings.stepLRGamma
- taskDetails.transformerParams.forecastingSettings.stepLRStepSize
- taskDetails.transformerParams.forecastingSettings.tileGridSize
- taskDetails.transformerParams.forecastingSettings.tileOverlapRatio
- taskDetails.transformerParams.forecastingSettings.tilePredictionsNmsThreshold
- taskDetails.transformerParams.forecastingSettings.trainingBatchSize
- taskDetails.transformerParams.forecastingSettings.validationBatchSize
- taskDetails.transformerParams.forecastingSettings.validationIouThreshold
- taskDetails.transformerParams.forecastingSettings.validationMetricType
- taskDetails.transformerParams.forecastingSettings.warmupCosineLRCycles
- taskDetails.transformerParams.forecastingSettings.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.forecastingSettings.weightDecay
- taskDetails.transformerParams.primaryMetric
- taskDetails.transformerParams.searchSpace
- taskDetails.transformerParams.distributed
- taskDetails.transformerParams.earlyStopping
- taskDetails.transformerParams.earlyStoppingDelay
- taskDetails.transformerParams.earlyStoppingPatience
- taskDetails.transformerParams.enableOnnxNormalization
- taskDetails.transformerParams.evaluationFrequency
- taskDetails.transformerParams.gradientAccumulationStep
- taskDetails.transformerParams.imageSize
- taskDetails.transformerParams.layersToFreeze
- taskDetails.transformerParams.learningRate
- taskDetails.transformerParams.learningRateScheduler
- taskDetails.transformerParams.maxSize
- taskDetails.transformerParams.minSize
- taskDetails.transformerParams.modelName
- taskDetails.transformerParams.modelSize
- taskDetails.transformerParams.momentum
- taskDetails.transformerParams.multiScale
- taskDetails.transformerParams.nesterov
- taskDetails.transformerParams.nmsIouThreshold
- taskDetails.transformerParams.numberOfEpochs
- taskDetails.transformerParams.numberOfWorkers
- taskDetails.transformerParams.optimizer
- taskDetails.transformerParams.randomSeed
- taskDetails.transformerParams.stepLRGamma
- taskDetails.transformerParams.stepLRStepSize
- taskDetails.transformerParams.tileGridSize
- taskDetails.transformerParams.tileOverlapRatio
- taskDetails.transformerParams.tilePredictionsNmsThreshold
- taskDetails.transformerParams.trainingBatchSize
- taskDetails.transformerParams.validationBatchSize
- taskDetails.transformerParams.validationIouThreshold
- taskDetails.transformerParams.validationMetricType
- taskDetails.transformerParams.warmupCosineLRCycles
- taskDetails.transformerParams.warmupCosineLRWarmupEpochs
- taskDetails.transformerParams.weightDecay
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- limitSettings.maxNodes
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- Booster
- boostingType
- growPolicy
- maxBin
- maxDepth
- maxLeaves
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.gradientAccumulationSteps
- trainingSettings.warmupRatio
- fixedParameters.gradientAccumulationSteps
- fixedParameters.learningRateScheduler
- fixedParameters.numberOfEpochs
- fixedParameters.trainingBatchSize
- fixedParameters.validationBatchSize
- fixedParameters.warmupRatio
- fixedParameters.weightDecay
- searchSpace.gradientAccumulationSteps
- searchSpace.learningRate
- searchSpace.learningRateScheduler
- searchSpace.modelName
- searchSpace.numberOfEpochs
- searchSpace.trainingBatchSize
- searchSpace.validationBatchSize
- searchSpace.warmupRatio
- searchSpace.weightDecay
- autologgerSettings
- autologgerSettings.mlflowAutologger
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefresh
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelect
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- archiwum
- archives.args
- archives.codeId
- archives.conf
- archives.conf. {niestandardowa właściwość}
- archives.entry
- archives.entry.sparkJobEntryType
- archives.entry.file
- archives.entry.className
- archives.environmentId
- archives.files
- archives.command
- archives.distribution
- archives.distribution.distributionType
- archives.distribution.processCountPerInstance
- archives.distribution.parameterServerCount
- archives.distribution.workerCount
- archives.environmentVariables
- archives.environmentVariables. {niestandardowa właściwość}
- archives.resources
- archives.resources.dockerArgs
- archives.resources.instanceCount
- archives.resources.instanceType
- archives.resources.properties
- archives.resources.properties. {niestandardowa właściwość}
- archives.resources.shmSize
Usunięte:
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.workerCount
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.useStl
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.earlyStoppingDelay
- trainingSettings.earlyStoppingPatience
- trainingSettings.enableOnnxNormalization
- trainingSettings.evaluationFrequency
- trainingSettings.gradientAccumulationStep
- trainingSettings.layersToFreeze
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingCropSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightedLoss
- Rozproszonych
- earlyStopping
- earlyStoppingDelay
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- layersToFreeze
- learningRateScheduler
- maxSize
- minSize
- modelSize
- impet
- wieloskalowa
- nesterov
- nmsIouThreshold
- numberOfEpochs
- numberOfWorkers
- Optymalizator
- randomSeed
- stepLRGamma
- stepLRStepSize
- tileGridSize
- tileOverlapRatio
- tilePredictionsNmsThreshold
- trainingBatchSize
- validationBatchSize
- validationIouThreshold
- validationMetricType
- warmupCosineLRCycles
- warmupCosineLRWarmupEpochs
- weightDecay
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationDataSize
- weightColumnName
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — dodano wartości: "Direct"
2022-10-01
Dodane:
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings.targetLags.workerCount
- forecastingSettings.useStl
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.weightColumnName
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationData
- validationData.description
- validationData.jobInputType
- validationData.mode
- validationData.uri
- validationDataSize
- weightColumnName
- taskType
- cechowanieUstawienia
- cechowanieSettings.datasetLanguage
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
Usunięte:
- properties.services.nodes
- properties.services.nodes.nodesValueType
- taskDetails.limitSettings
- taskDetails.limitSettings.enableEarlyTermination
- taskDetails.limitSettings.exitScore
- taskDetails.limitSettings.maxConcurrentTrials
- taskDetails.limitSettings.maxCoresPerTrial
- taskDetails.limitSettings.maxTrials
- taskDetails.limitSettings.sweepConcurrentTrials
- taskDetails.limitSettings.sweepTrials
- taskDetails.limitSettings.timeout
- taskDetails.limitSettings.trialTimeout
- taskDetails.nCrossValidations
- taskDetails.nCrossValidations.mode
- taskDetails.nCrossValidations.value
- taskDetails.positiveLabel
- taskDetails.primaryMetric
- taskDetails.searchSpace
- taskDetails.booster
- taskDetails.boostingType
- taskDetails.growPolicy
- taskDetails.learningRate
- taskDetails.maxBin
- taskDetails.maxDepth
- taskDetails.maxLeaves
- taskDetails.minDataInLeaf
- taskDetails.minSplitGain
- taskDetails.modelName
- taskDetails.nEstimators
- taskDetails.numLeaves
- taskDetails.preprocessorName
- taskDetails.regAlpha
- taskDetails.regLambda
- taskDetails.subsample
- taskDetails.subsampleFreq
- taskDetails.treeMethod
- taskDetails.withMean
- taskDetails.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.cvSplitColumnNames
- trainingSettings. {niestandardowa właściwość}
- trainingSettings.parameters
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings.targetLags.jobInputType
- forecastingSettings.targetLags.value
- forecastingSettings.targetLags.uri
- forecastingSettings.earlyTermination
- forecastingSettings.earlyTermination.delayEvaluation
- forecastingSettings.earlyTermination.evaluationInterval
- forecastingSettings.earlyTermination.policyType
- forecastingSettings.earlyTermination.slackAmount
- forecastingSettings.earlyTermination.slackFactor
- forecastingSettings.earlyTermination.truncationPercentage
- forecastingSettings.samplingAlgorithm
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- boostingType
- growPolicy
- maxBin
- maxDepth
- maxLeaves
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.searchSpace.gradientAccumulationSteps
- trainingSettings.searchSpace.learningRate
- trainingSettings.searchSpace.learningRateScheduler
- trainingSettings.searchSpace.modelName
- trainingSettings.searchSpace.numberOfEpochs
- trainingSettings.searchSpace.trainingBatchSize
- trainingSettings.searchSpace.validationBatchSize
- trainingSettings.searchSpace.warmupRatio
- trainingSettings.searchSpace.weightDecay
- trainingSettings.sweepSettings
- trainingSettings.sweepSettings.earlyTermination
- trainingSettings.sweepSettings.earlyTermination.delayEvaluation
- trainingSettings.sweepSettings.earlyTermination.evaluationInterval
- trainingSettings.sweepSettings.earlyTermination.policyType
- trainingSettings.sweepSettings.earlyTermination.slackAmount
- trainingSettings.sweepSettings.earlyTermination.slackFactor
- trainingSettings.sweepSettings.earlyTermination.truncationPercentage
- trainingSettings.sweepSettings.samplingAlgorithm
- trainingSettings.validationData
- trainingSettings.validationData.description
- trainingSettings.validationData.jobInputType
- trainingSettings.validationData.mode
- trainingSettings.validationData.uri
- autologgerSettings
- autologgerSettings.mlflowAutologger
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefreshEnabled
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelectEnabled
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- archiwum
- archives.args
- archives.codeId
- archives.conf
- archives.conf. {niestandardowa właściwość}
- archives.entry
- archives.entry.sparkJobEntryType
- archives.entry.file
- archives.entry.className
- archives.environmentId
- archives.files
- archives.command
- archives.distribution
- archives.distribution.distributionType
- archives.distribution.processCountPerInstance
- archives.distribution.parameterServerCount
- archives.distribution.workerCount
- archives.environmentVariables
- archives.environmentVariables. {niestandardowa właściwość}
- archives.resources
- archives.resources.dockerArgs
- archives.resources.instanceCount
- archives.resources.instanceType
- archives.resources.properties
- archives.resources.properties. {niestandardowa właściwość}
- archives.resources.shmSize
Aktualizowano:
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — usunięte wartości: "Direct"
2022-10-01-preview
Dodane:
- properties.services.nodes
- properties.services.nodes.nodesValueType
- taskDetails.limitSettings
- taskDetails.limitSettings.enableEarlyTermination
- taskDetails.limitSettings.exitScore
- taskDetails.limitSettings.maxConcurrentTrials
- taskDetails.limitSettings.maxCoresPerTrial
- taskDetails.limitSettings.maxTrials
- taskDetails.limitSettings.sweepConcurrentTrials
- taskDetails.limitSettings.sweepTrials
- taskDetails.limitSettings.timeout
- taskDetails.limitSettings.trialTimeout
- taskDetails.nCrossValidations
- taskDetails.nCrossValidations.mode
- taskDetails.nCrossValidations.value
- taskDetails.positiveLabel
- taskDetails.primaryMetric
- taskDetails.searchSpace
- taskDetails.booster
- taskDetails.boostingType
- taskDetails.growPolicy
- taskDetails.learningRate
- taskDetails.maxBin
- taskDetails.maxDepth
- taskDetails.maxLeaves
- taskDetails.minDataInLeaf
- taskDetails.minSplitGain
- taskDetails.modelName
- taskDetails.nEstimators
- taskDetails.numLeaves
- taskDetails.preprocessorName
- taskDetails.regAlpha
- taskDetails.regLambda
- taskDetails.subsample
- taskDetails.subsampleFreq
- taskDetails.treeMethod
- taskDetails.withMean
- taskDetails.withStd
- sweepSettings
- sweepSettings.earlyTermination
- sweepSettings.earlyTermination.delayEvaluation
- sweepSettings.earlyTermination.evaluationInterval
- sweepSettings.earlyTermination.policyType
- sweepSettings.earlyTermination.slackAmount
- sweepSettings.earlyTermination.slackFactor
- sweepSettings.earlyTermination.truncationPercentage
- sweepSettings.samplingAlgorithm
- trainingSettings.cvSplitColumnNames
- trainingSettings. {niestandardowa właściwość}
- trainingSettings.parameters
- fixedParameters
- fixedParameters.booster
- fixedParameters.boostingType
- fixedParameters.growPolicy
- fixedParameters.learningRate
- fixedParameters.maxBin
- fixedParameters.maxDepth
- fixedParameters.maxLeaves
- fixedParameters.minDataInLeaf
- fixedParameters.minSplitGain
- fixedParameters.modelName
- fixedParameters.nEstimators
- fixedParameters.numLeaves
- fixedParameters.preprocessorName
- fixedParameters.regAlpha
- fixedParameters.regLambda
- fixedParameters.subsample
- fixedParameters.subsampleFreq
- fixedParameters.treeMethod
- fixedParameters.withMean
- fixedParameters.withStd
- forecastingSettings.targetLags.jobInputType
- forecastingSettings.targetLags.uri
- forecastingSettings.earlyTermination
- forecastingSettings.earlyTermination.delayEvaluation
- forecastingSettings.earlyTermination.evaluationInterval
- forecastingSettings.earlyTermination.policyType
- forecastingSettings.earlyTermination.slackAmount
- forecastingSettings.earlyTermination.slackFactor
- forecastingSettings.earlyTermination.truncationPercentage
- forecastingSettings.samplingAlgorithm
- trainingSettings.earlyStoppingDelay
- trainingSettings.earlyStoppingPatience
- trainingSettings.enableOnnxNormalization
- trainingSettings.evaluationFrequency
- trainingSettings.gradientAccumulationStep
- trainingSettings.layersToFreeze
- trainingSettings.learningRate
- trainingSettings.learningRateScheduler
- trainingSettings.modelName
- trainingSettings.momentum
- trainingSettings.nesterov
- trainingSettings.numberOfEpochs
- trainingSettings.numberOfWorkers
- trainingSettings.optimizer
- trainingSettings.randomSeed
- trainingSettings.stepLRGamma
- trainingSettings.stepLRStepSize
- trainingSettings.trainingBatchSize
- trainingSettings.trainingCropSize
- trainingSettings.validationBatchSize
- trainingSettings.validationCropSize
- trainingSettings.validationResizeSizeSize
- trainingSettings.warmupCosineLRCycles
- trainingSettings.warmupCosineLRWarmupEpochs
- trainingSettings.weightDecay
- trainingSettings.weightedLoss
- limitSettings.sweepConcurrentTrials
- limitSettings.sweepTrials
- boostingType
- growPolicy
- maxBin
- maxDepth
- maxLeaves
- minDataInLeaf
- minSplitGain
- nEstimatory
- numLeaves
- preprocesorName
- regAlpha
- regLambda
- podprzykład
- subsampleFreq
- treeMethod
- withMean
- withStd
- trainingSettings.featurizationSettings
- trainingSettings.featurizationSettings.datasetLanguage
- trainingSettings.fixedParameters
- trainingSettings.fixedParameters.gradientAccumulationSteps
- trainingSettings.fixedParameters.learningRate
- trainingSettings.fixedParameters.learningRateScheduler
- trainingSettings.fixedParameters.modelName
- trainingSettings.fixedParameters.numberOfEpochs
- trainingSettings.fixedParameters.trainingBatchSize
- trainingSettings.fixedParameters.validationBatchSize
- trainingSettings.fixedParameters.warmupRatio
- trainingSettings.fixedParameters.weightDecay
- trainingSettings.limitSettings.maxNodes
- trainingSettings.limitSettings.trialTimeout
- trainingSettings.searchSpace.gradientAccumulationSteps
- trainingSettings.searchSpace.learningRate
- trainingSettings.searchSpace.learningRateScheduler
- trainingSettings.searchSpace.modelName
- trainingSettings.searchSpace.numberOfEpochs
- trainingSettings.searchSpace.trainingBatchSize
- trainingSettings.searchSpace.validationBatchSize
- trainingSettings.searchSpace.warmupRatio
- trainingSettings.searchSpace.weightDecay
- trainingSettings.sweepSettings
- trainingSettings.sweepSettings.earlyTermination
- trainingSettings.sweepSettings.earlyTermination.delayEvaluation
- trainingSettings.sweepSettings.earlyTermination.evaluationInterval
- trainingSettings.sweepSettings.earlyTermination.policyType
- trainingSettings.sweepSettings.earlyTermination.slackAmount
- trainingSettings.sweepSettings.earlyTermination.slackFactor
- trainingSettings.sweepSettings.earlyTermination.truncationPercentage
- trainingSettings.sweepSettings.samplingAlgorithm
- trainingSettings.validationData
- trainingSettings.validationData.description
- trainingSettings.validationData.jobInputType
- trainingSettings.validationData.mode
- trainingSettings.validationData.uri
- autologgerSettings
- autologgerSettings.mlflowAutologger
- archives.args
- archives.codeId
- archives.conf
- archives.conf. {niestandardowa właściwość}
- archives.entry
- archives.entry.sparkJobEntryType
- archives.entry.file
- archives.entry.className
- archives.environmentId
- archives.files
- archives.command
- archives.distribution
- archives.distribution.distributionType
- archives.distribution.processCountPerInstance
- archives.distribution.parameterServerCount
- archives.distribution.workerCount
- archives.environmentVariables
- archives.environmentVariables. {niestandardowa właściwość}
- archives.resources
- archives.resources.dockerArgs
- archives.resources.instanceCount
- archives.resources.instanceType
- archives.resources.properties
- archives.resources.properties. {niestandardowa właściwość}
- archives.resources.shmSize
Usunięte:
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings.useStl
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.weightColumnName
- checkpointRunId
- trainingCropSize
- validationCropSize
- validationResizeSizeSize
- ważoneLoss
- tryb
- Uri
- Parametry
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationData
- validationData.description
- validationData.jobInputType
- validationData.mode
- validationData.uri
- validationDataSize
- weightColumnName
- taskType
- cechowanieUstawienia
- cechowanieSettings.datasetLanguage
- proces
- trial.codeId
- trial.command
- trial.distribution
- trial.distribution.distributionType
- trial.distribution.processCountPerInstance
- trial.distribution.parameterServerCount
- trial.distribution.workerCount
- trial.environmentId
- trial.environmentVariables
- trial.environmentVariables. {niestandardowa właściwość}
- trial.resources
- trial.resources.dockerArgs
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
- trial.resources.shmSize
2022-06-01-preview
Dodane:
- properties.componentId
- resources.dockerArgs
- resources.shmSize
- taskDetails
- taskDetails.logVerbosity
- taskDetails.targetColumnName
- taskDetails.trainingData
- taskDetails.trainingData.description
- taskDetails.trainingData.jobInputType
- taskDetails.trainingData.mode
- taskDetails.trainingData.uri
- taskDetails.taskType
- taskDetails.cvSplitColumnNames
- taskDetails.trainingSettings
- taskDetails.trainingSettings.allowedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
- taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
- taskDetails.trainingSettings.validationData
- taskDetails.trainingSettings.validationData.description
- taskDetails.trainingSettings.validationData.jobInputType
- taskDetails.trainingSettings.validationData.mode
- taskDetails.trainingSettings.validationData.uri
- taskDetails.trainingSettings.validationDataSize
- taskDetails.trainingSettings.weightColumnName
- taskDetails.trainingSettings.taskType
- taskDetails.trainingSettings.cvSplitColumnNames
- taskDetails.trainingSettings. {niestandardowa właściwość}
- taskDetails.trainingSettings.parameters
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.value
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.useStl
- limitSettings
- limitSettings.enableEarlyTermination
- limitSettings.exitScore
- limitSettings.maxConcurrentTrials
- limitSettings.maxCoresPerTrial
- limitSettings.maxTrials
- limitSettings.timeout
- limitSettings.trialTimeout
- nCrossValidations
- nCrossValidations.mode
- nCrossValidations.value
- primaryMetric
- testData
- testData.description
- testData.jobInputType
- testData.mode
- testData.uri
- testDataSize
- trainingSettings
- trainingSettings.allowedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
- trainingSettings.allowedTrainingAlgorithms.description
- trainingSettings.allowedTrainingAlgorithms.jobInputType
- trainingSettings.allowedTrainingAlgorithms.mode
- trainingSettings.allowedTrainingAlgorithms.uri
- trainingSettings.validationDataSize
- trainingSettings.weightColumnName
- trainingSettings.taskType
- trainingSettings.limitSettings
- trainingSettings.limitSettings.maxConcurrentTrials
- trainingSettings.limitSettings.maxTrials
- trainingSettings.limitSettings.timeout
- trainingSettings.modelSettings
- trainingSettings.modelSettings.advancedSettings
- trainingSettings.modelSettings.amsGradient
- trainingSettings.modelSettings.augmentations
- trainingSettings.modelSettings.beta1
- trainingSettings.modelSettings.beta2
- trainingSettings.modelSettings.checkpointFrequency
- trainingSettings.modelSettings.checkpointModel
- trainingSettings.modelSettings.checkpointModel.description
- trainingSettings.modelSettings.checkpointModel.jobInputType
- trainingSettings.modelSettings.checkpointModel.mode
- trainingSettings.modelSettings.checkpointModel.uri
- trainingSettings.modelSettings.checkpointRunId
- trainingSettings.modelSettings.distributed
- trainingSettings.modelSettings.earlyStopping
- trainingSettings.modelSettings.earlyStoppingDelay
- trainingSettings.modelSettings.earlyStoppingPatience
- trainingSettings.modelSettings.enableOnnxNormalization
- trainingSettings.modelSettings.evaluationFrequency
- trainingSettings.modelSettings.gradientAccumulationStep
- trainingSettings.modelSettings.layersToFreeze
- trainingSettings.modelSettings.learningRate
- trainingSettings.modelSettings.learningRateScheduler
- trainingSettings.modelSettings.modelName
- trainingSettings.modelSettings.momentum
- trainingSettings.modelSettings.nesterov
- trainingSettings.modelSettings.numberOfEpochs
- trainingSettings.modelSettings.numberOfWorkers
- trainingSettings.modelSettings.optimizer
- trainingSettings.modelSettings.randomSeed
- trainingSettings.modelSettings.stepLRGamma
- trainingSettings.modelSettings.stepLRStepSize
- trainingSettings.modelSettings.trainingBatchSize
- trainingSettings.modelSettings.trainingCropSize
- trainingSettings.modelSettings.validationBatchSize
- trainingSettings.modelSettings.validationCropSize
- trainingSettings.modelSettings.validationResizeSizeSize
- trainingSettings.modelSettings.warmupCosineLRCycles
- trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
- trainingSettings.modelSettings.weightDecay
- trainingSettings.modelSettings.weightedLoss
- trainingSettings.primaryMetric
- trainingSettings.searchSpace
- checkpointRunId
- Rozproszonych
- earlyStopping
- earlyStoppingDelay
- earlyStoppingPatience
- enableOnnxNormalization
- evaluationFrequency
- gradientAccumulationKrok
- layersToFreeze
- learningRate
- learningRateScheduler
- modelName
- impet
- nesterov
- numberOfEpochs
- numberOfWorkers
- Optymalizator
- randomSeed
- stepLRGamma
- stepLRStepSize
- trainingBatchSize
- trainingCropSize
- validationBatchSize
- validationCropSize
- validationResizeSizeSize
- warmupCosineLRCycles
- warmupCosineLRWarmupEpochs
- weightDecay
- ważoneLoss
- tryb
- Uri
- imageSize
- maxSize
- minSize
- modelSize
- wieloskalowa
- nmsIouThreshold
- tileGridSize
- tileOverlapRatio
- tilePredictionsNmsThreshold
- validationIouThreshold
- validationMetricType
- Parametry
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- validationData
- validationData.description
- validationData.jobInputType
- validationData.mode
- validationData.uri
- validationDataSize
- weightColumnName
- taskType
- cechowanieUstawienia
- cechowanieSettings.datasetLanguage
- dataConfiguration
- dataConfiguration.dataId
- dataConfiguration.incrementalDataRefreshEnabled
- jobInstructions
- jobInstructions.uri
- labelCategories
- labelCategories. {niestandardowa właściwość}
- labelCategories.classes
- labelCategories.classes. {niestandardowa właściwość}
- labelCategories.classes.displayName
- labelCategories.classes.subclasses
- labelCategories.classes.subclasses. {niestandardowa właściwość}
- labelCategories.displayName
- labelCategories.multiSelectEnabled
- labelingJobMediaProperties
- labelingJobMediaProperties.mediaType
- labelingJobMediaProperties.annotationType
- mlAssistConfiguration
- mlAssistConfiguration.mlAssist
- mlAssistConfiguration.inferencingComputeBinding
- mlAssistConfiguration.trainingComputeBinding
- sourceJobId
- archiwum
- trial.resources.dockerArgs
- trial.resources.shmSize
Usunięte:
- earlyTermination
- earlyTermination.delayEvaluation
- earlyTermination.evaluationInterval
- earlyTermination.policyType
- earlyTermination.slackAmount
- earlyTermination.slackFactor
- earlyTermination.truncationPercentage
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- cel
- objective.goal
- objective.primaryMetric
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
Aktualizowano:
- properties.services. {customized property}.properties.jobType — dodano wartości: "AutoML" (wymagane) — usunięte wartości: "Command" (wymagane)
- properties.services. {customized property}.properties.environmentId został zmieniony na niewymagane.
- properties.services. {customized property}.properties.outputs. {niestandardowa właściwość}.mode — dodano wartości: "Direct"
2022-05-01
Usunięte:
- properties.schedule
- properties.schedule.endTime
- properties.schedule.scheduleStatus
- properties.schedule.startTime
- properties.schedule.timeZone
- properties.schedule.scheduleType
- properties.schedule.expression
- properties.schedule.frequency
- properties.schedule.interval
- properties.schedule.pattern
- properties.schedule.pattern.hours
- properties.schedule.pattern.hours.minutes
- properties.schedule.pattern.hours.blockedModels
- properties.schedule.pattern.hours.targetColumnName
- properties.schedule.pattern.hours.testData
- properties.schedule.pattern.hours.testData.data
- properties.schedule.pattern.hours.testData.data.description
- properties.schedule.pattern.hours.testData.data.jobInputType
- properties.schedule.pattern.hours.testData.data.mode
- properties.schedule.pattern.hours.testData.data.uri
- properties.schedule.pattern.hours.testData.testDataSize
- properties.schedule.pattern.hours.trainingData
- properties.schedule.pattern.hours.trainingData.data
- properties.schedule.pattern.hours.trainingData.data.description
- properties.schedule.pattern.hours.trainingData.data.jobInputType
- properties.schedule.pattern.hours.trainingData.data.mode
- properties.schedule.pattern.hours.trainingData.data.uri
- properties.schedule.pattern.hours.validationData
- properties.schedule.pattern.hours.validationData.cvSplitColumnNames
- properties.schedule.pattern.hours.validationData.timeout
- properties.schedule.pattern.hours.validationData.trialTimeout
- properties.schedule.pattern.hours.primaryMetric
- properties.schedule.pattern.hours.trainingSettings
- properties.schedule.pattern.hours.trainingSettings.enableDnnTraining
- properties.schedule.pattern.hours.trainingSettings.enableModelExplainability
- properties.schedule.pattern.hours.trainingSettings.enableOnnxCompatibleModels
- properties.schedule.pattern.hours.trainingSettings.enableStackEnsemble
- properties.schedule.pattern.hours.trainingSettings.enableVoteEnsemble
- properties.schedule.pattern.hours.trainingSettings.ensembleModelDownloadTimeout
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- properties.schedule.pattern.hours.taskType
- properties.schedule.pattern.hours.allowedModels
- properties.schedule.pattern.hours.mode
- properties.schedule.pattern.hours.uri
- properties.schedule.validationData
- properties.schedule.validationData.cvSplitColumnNames
- properties.schedule.validationData.data
- properties.schedule.validationData.data.description
- properties.schedule.validationData.data.jobInputType
- properties.schedule.validationData.data.mode
- properties.schedule.validationData.data.uri
- properties.schedule.validationData.nCrossValidations
- properties.schedule.validationData.nCrossValidations.mode
- properties.schedule.validationData.nCrossValidations.value
- properties.schedule.validationData.validationDataSize
- properties.schedule.weightColumnName
- properties.featurizationSettings
- properties.featurizationSettings.blockedTransformers
- properties.featurizationSettings.mode
- properties.featurizationSettings.value
- properties.frequency
- properties.seasonality
- properties.seasonality.mode
- properties.seasonality.value
- properties.shortSeriesHandlingConfig
- properties.targetAggregateFunction
- properties.targetLags
- properties.targetLags.mode
- properties.targetLags.values
- properties.targetLags.value
- properties.targetRollingWindowSize
- properties.targetRollingWindowSize.mode
- properties.targetRollingWindowSize.value
- properties.timeColumnName
- properties.timeSeriesIdColumnNames
- properties.maxConcurrentTrials
- properties.maxCoresPerTrial
- properties.maxTrials
- properties.timeout
- properties.trialTimeout
- primaryMetric
- trainingSettings
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- taskType
- dataSettings
- dataSettings.targetColumnName
- dataSettings.testData
- dataSettings.testData.data
- dataSettings.testData.data.description
- dataSettings.testData.data.jobInputType
- dataSettings.testData.data.mode
- dataSettings.testData.data.uri
- dataSettings.testData.testDataSize
- dataSettings.trainingData
- dataSettings.trainingData.data
- dataSettings.trainingData.data.description
- dataSettings.trainingData.data.jobInputType
- dataSettings.trainingData.data.mode
- dataSettings.trainingData.data.uri
- dataSettings.validationData
- dataSettings.validationData.data
- dataSettings.validationData.data.description
- dataSettings.validationData.data.jobInputType
- dataSettings.validationData.data.mode
- dataSettings.validationData.data.uri
- dataSettings.validationData.validationDataSize
- limitSettings
- limitSettings.maxConcurrentTrials
- limitSettings.maxTrials
- limitSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointDatasetId
- modelSettings.checkpointFilename
- modelSettings.checkpointFrequency
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.splitRatio
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- layersToFreeze
- learningRate
- learningRateScheduler
- modelName
- impet
- nesterov
- numberOfEpochs
- numberOfWorkers
- Optymalizator
- randomSeed
- splitRatio
- stepLRGamma
- stepLRStepSize
- trainingBatchSize
- trainingCropSize
- validationBatchSize
- validationCropSize
- validationResizeSizeSize
- warmupCosineLRCycles
- warmupCosineLRWarmupEpochs
- weightDecay
- ważoneLoss
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- maxSize
- minSize
- modelSize
- wieloskalowa
- nmsIouThreshold
- tileGridSize
- tileOverlapRatio
- tilePredictionsNmsThreshold
- validationIouThreshold
- validationMetricType
- dropColumns
- dropColumns.enableDnnFeaturization
- dropColumns.mode
- dropColumns.transformerParams
- dropColumns.transformerParams. {niestandardowa właściwość}
- dropColumns.transformerParams. {niestandardowa właściwość}.fields
- dropColumns.transformerParams. {niestandardowa właściwość}.timeout
- dropColumns.transformerParams. {niestandardowa właściwość}.trialTimeout
- dropColumns.transformerParams.primaryMetric
- dropColumns.transformerParams.trainingSettings
- dropColumns.transformerParams.trainingSettings.enableDnnTraining
- dropColumns.transformerParams.trainingSettings.enableModelExplainability
- dropColumns.transformerParams.trainingSettings.enableOnnxCompatibleModels
- dropColumns.transformerParams.trainingSettings.enableStackEnsemble
- dropColumns.transformerParams.trainingSettings.enableVoteEnsemble
- dropColumns.transformerParams.trainingSettings.ensembleModelDownloadTimeout
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- dropColumns.transformerParams.taskType
- dropColumns.transformerParams.dataSettings
- dropColumns.transformerParams.dataSettings.targetColumnName
- dropColumns.transformerParams.dataSettings.testData
- dropColumns.transformerParams.dataSettings.testData.data
- dropColumns.transformerParams.dataSettings.testData.data.description
- dropColumns.transformerParams.dataSettings.testData.data.jobInputType
- dropColumns.transformerParams.dataSettings.testData.data.mode
- dropColumns.transformerParams.dataSettings.testData.data.uri
- dropColumns.transformerParams.dataSettings.testData.testDataSize
- dropColumns.transformerParams.dataSettings.trainingData
- dropColumns.transformerParams.dataSettings.trainingData.data
- dropColumns.transformerParams.dataSettings.trainingData.data.description
- dropColumns.transformerParams.dataSettings.trainingData.data.jobInputType
- dropColumns.transformerParams.dataSettings.trainingData.data.mode
- dropColumns.transformerParams.dataSettings.trainingData.data.uri
- dropColumns.transformerParams.dataSettings.validationData
- dropColumns.transformerParams.dataSettings.validationData.data
- dropColumns.transformerParams.dataSettings.validationData.data.description
- dropColumns.transformerParams.dataSettings.validationData.data.jobInputType
- dropColumns.transformerParams.dataSettings.validationData.data.mode
- dropColumns.transformerParams.dataSettings.validationData.data.uri
- dropColumns.transformerParams.dataSettings.validationData.validationDataSize
- dropColumns.transformerParams.featurizationSettings
- dropColumns.transformerParams.featurizationSettings.datasetLanguage
- dropColumns.transformerParams.limitSettings
- dropColumns.transformerParams.limitSettings.maxConcurrentTrials
- dropColumns.transformerParams.limitSettings.maxTrials
- dropColumns.transformerParams.limitSettings.timeout
- taskDetails
- taskDetails.logVerbosity
- taskDetails.taskType
- taskDetails.allowedModels
- taskDetails.mode
- taskDetails.value
- validationDataSize
- weightColumnName
- cechowanieUstawienia
- cechowanieSettings.blockedTransformers
- limitSettings.enableEarlyTermination
- limitSettings.exitScore
- limitSettings.maxCoresPerTrial
- limitSettings.trialTimeout
- allowedModels
- blockedModels
- tryb
- wartość
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.distributionType
- forecastingSettings.targetLags.processCountPerInstance
- forecastingSettings.targetLags.parameterServerCount
- forecastingSettings.targetLags.workerCount
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.timeSeriesIdColumnNames.useStl
- forecastingSettings.limitSettings
- forecastingSettings.limitSettings.enableEarlyTermination
- forecastingSettings.limitSettings.exitScore
- forecastingSettings.limitSettings.maxConcurrentTrials
- forecastingSettings.limitSettings.maxCoresPerTrial
- forecastingSettings.limitSettings.maxTrials
- forecastingSettings.limitSettings.timeout
- forecastingSettings.limitSettings.trialTimeout
- forecastingSettings.primaryMetric
- forecastingSettings.trainingSettings
- forecastingSettings.trainingSettings.enableDnnTraining
- forecastingSettings.trainingSettings.enableModelExplainability
- forecastingSettings.trainingSettings.enableOnnxCompatibleModels
- forecastingSettings.trainingSettings.enableStackEnsemble
- forecastingSettings.trainingSettings.enableVoteEnsemble
- forecastingSettings.trainingSettings.ensembleModelDownloadTimeout
- forecastingSettings.trainingSettings.stackEnsembleSettings
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- forecastingSettings.taskType
- forecastingSettings.dataSettings
- forecastingSettings.dataSettings.targetColumnName
- forecastingSettings.dataSettings.testData
- forecastingSettings.dataSettings.testData.data
- forecastingSettings.dataSettings.testData.data.description
- forecastingSettings.dataSettings.testData.data.jobInputType
- forecastingSettings.dataSettings.testData.data.mode
- forecastingSettings.dataSettings.testData.data.uri
- forecastingSettings.dataSettings.testData.testDataSize
- forecastingSettings.dataSettings.trainingData
- forecastingSettings.dataSettings.trainingData.data
- forecastingSettings.dataSettings.trainingData.data.description
- forecastingSettings.dataSettings.trainingData.data.jobInputType
- forecastingSettings.dataSettings.trainingData.data.mode
- forecastingSettings.dataSettings.trainingData.data.uri
- forecastingSettings.dataSettings.validationData
- forecastingSettings.dataSettings.validationData.data
- forecastingSettings.dataSettings.validationData.data.description
- forecastingSettings.dataSettings.validationData.data.jobInputType
- forecastingSettings.dataSettings.validationData.data.mode
- forecastingSettings.dataSettings.validationData.data.uri
- forecastingSettings.dataSettings.validationData.validationDataSize
- forecastingSettings.modelSettings
- forecastingSettings.modelSettings.advancedSettings
- forecastingSettings.modelSettings.amsGradient
- forecastingSettings.modelSettings.augmentations
- forecastingSettings.modelSettings.beta1
- forecastingSettings.modelSettings.beta2
- forecastingSettings.modelSettings.checkpointDatasetId
- forecastingSettings.modelSettings.checkpointFilename
- forecastingSettings.modelSettings.checkpointFrequency
- forecastingSettings.modelSettings.checkpointRunId
- forecastingSettings.modelSettings.distributed
- forecastingSettings.modelSettings.earlyStopping
- forecastingSettings.modelSettings.earlyStoppingDelay
- forecastingSettings.modelSettings.earlyStoppingPatience
- forecastingSettings.modelSettings.enableOnnxNormalization
- forecastingSettings.modelSettings.evaluationFrequency
- forecastingSettings.modelSettings.gradientAccumulationStep
- forecastingSettings.modelSettings.layersToFreeze
- forecastingSettings.modelSettings.learningRate
- forecastingSettings.modelSettings.learningRateScheduler
- forecastingSettings.modelSettings.modelName
- forecastingSettings.modelSettings.momentum
- forecastingSettings.modelSettings.nesterov
- forecastingSettings.modelSettings.numberOfEpochs
- forecastingSettings.modelSettings.numberOfWorkers
- forecastingSettings.modelSettings.optimizer
- forecastingSettings.modelSettings.randomSeed
- forecastingSettings.modelSettings.splitRatio
- forecastingSettings.modelSettings.stepLRGamma
- forecastingSettings.modelSettings.stepLRStepSize
- forecastingSettings.modelSettings.trainingBatchSize
- forecastingSettings.modelSettings.trainingCropSize
- forecastingSettings.modelSettings.validationBatchSize
- forecastingSettings.modelSettings.validationCropSize
- forecastingSettings.modelSettings.validationResizeSize
- forecastingSettings.modelSettings.warmupCosineLRCycles
- forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.modelSettings.weightDecay
- forecastingSettings.modelSettings.weightedLoss
- forecastingSettings.searchSpace
- forecastingSettings.mode
- forecastingSettings.uri
- validationData
- validationData.data
- validationData.data.description
- validationData.data.jobInputType
- validationData.data.mode
- validationData.data.uri
- validationData.validationDataSize
- Uri
- modelSettings.boxDetectionsPerImage
- modelSettings.boxScoreThreshold
- modelSettings.imageSize
- modelSettings.maxSize
- modelSettings.minSize
- modelSettings.modelSize
- modelSettings.multiScale
- modelSettings.nmsIouThreshold
- modelSettings.tileGridSize
- modelSettings.tileOverlapRatio
- modelSettings.tilePredictionsNmsThreshold
- modelSettings.validationIouThreshold
- modelSettings.validationMetricType
- testDataSize
- trainingData
- trainingData.data
- trainingData.data.description
- trainingData.data.jobInputType
- trainingData.data.mode
- trainingData.data.uri
- validationData.cvSplitColumnNames
- validationData.mode
- validationData.value
- cechowanieSettings.datasetLanguage
Aktualizowano:
- properties.services. {customized property}.properties.jobType — dodano wartości: "Command" (wymagane) — usunięte wartości: "AutoML" (wymagane)
- properties.services. {niestandardowa właściwość}.properties.environmentId została zmieniona na wymaganą.
- properties.services. {customized property}.properties.outputs. {customized property}.jobOutputType — dodano wartości: "custom_model" (wymagane) "mlflow_model" (wymagane) "mltable" (wymagane) "triton_model" (wymagane) "uri_file" (wymagane) "uri_folder uri_file" Wymagane ( wymagane) — usunięte wartości: "CustomModel" (wymagane) "MLFlowModel" (wymagane) "MLTable" (wymagane) "TritonModel" (wymagane) "UriFile" (wymagane) "UriFolder" (wymagane)
2022-02-01-preview
Dodane:
- properties.computeId
- properties.displayName
- properties.isArchived
- properties.schedule
- properties.schedule.endTime
- properties.schedule.scheduleStatus
- properties.schedule.startTime
- properties.schedule.timeZone
- properties.schedule.scheduleType
- properties.schedule.expression
- properties.schedule.frequency
- properties.schedule.interval
- properties.schedule.pattern
- properties.schedule.pattern.hours
- properties.schedule.pattern.hours.minutes
- properties.schedule.pattern.hours.blockedModels
- properties.schedule.pattern.hours.targetColumnName
- properties.schedule.pattern.hours.testData
- properties.schedule.pattern.hours.testData.data
- properties.schedule.pattern.hours.testData.data.description
- properties.schedule.pattern.hours.testData.data.jobInputType
- properties.schedule.pattern.hours.testData.data.mode
- properties.schedule.pattern.hours.testData.data.uri
- properties.schedule.pattern.hours.testData.testDataSize
- properties.schedule.pattern.hours.trainingData
- properties.schedule.pattern.hours.trainingData.data
- properties.schedule.pattern.hours.trainingData.data.description
- properties.schedule.pattern.hours.trainingData.data.jobInputType
- properties.schedule.pattern.hours.trainingData.data.mode
- properties.schedule.pattern.hours.trainingData.data.uri
- properties.schedule.pattern.hours.validationData
- properties.schedule.pattern.hours.validationData.cvSplitColumnNames
- properties.schedule.pattern.hours.validationData.timeout
- properties.schedule.pattern.hours.validationData.trialTimeout
- properties.schedule.pattern.hours.primaryMetric
- properties.schedule.pattern.hours.trainingSettings
- properties.schedule.pattern.hours.trainingSettings.enableDnnTraining
- properties.schedule.pattern.hours.trainingSettings.enableModelExplainability
- properties.schedule.pattern.hours.trainingSettings.enableOnnxCompatibleModels
- properties.schedule.pattern.hours.trainingSettings.enableStackEnsemble
- properties.schedule.pattern.hours.trainingSettings.enableVoteEnsemble
- properties.schedule.pattern.hours.trainingSettings.ensembleModelDownloadTimeout
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- properties.schedule.pattern.hours.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- properties.schedule.pattern.hours.taskType
- properties.schedule.pattern.hours.allowedModels
- properties.schedule.pattern.hours.mode
- properties.schedule.pattern.hours.uri
- properties.schedule.validationData
- properties.schedule.validationData.cvSplitColumnNames
- properties.schedule.validationData.data
- properties.schedule.validationData.data.description
- properties.schedule.validationData.data.jobInputType
- properties.schedule.validationData.data.mode
- properties.schedule.validationData.data.uri
- properties.schedule.validationData.nCrossValidations
- properties.schedule.validationData.nCrossValidations.mode
- properties.schedule.validationData.nCrossValidations.value
- properties.schedule.validationData.validationDataSize
- properties.schedule.weightColumnName
- properties.featurizationSettings
- properties.featurizationSettings.blockedTransformers
- properties.featurizationSettings.mode
- properties.featurizationSettings.value
- properties.frequency
- properties.seasonality
- properties.seasonality.mode
- properties.seasonality.value
- properties.shortSeriesHandlingConfig
- properties.targetAggregateFunction
- properties.targetLags
- properties.targetLags.mode
- properties.targetLags.values
- properties.targetLags.value
- properties.targetRollingWindowSize
- properties.targetRollingWindowSize.mode
- properties.targetRollingWindowSize.value
- properties.timeColumnName
- properties.timeSeriesIdColumnNames
- properties.maxConcurrentTrials
- properties.maxCoresPerTrial
- properties.maxTrials
- properties.timeout
- properties.trialTimeout
- primaryMetric
- trainingSettings
- trainingSettings.enableDnnTraining
- trainingSettings.enableModelExplainability
- trainingSettings.enableOnnxCompatibleModels
- trainingSettings.enableStackEnsemble
- trainingSettings.enableVoteEnsemble
- trainingSettings.ensembleModelDownloadTimeout
- trainingSettings.stackEnsembleSettings
- trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- taskType
- dataSettings
- dataSettings.targetColumnName
- dataSettings.testData
- dataSettings.testData.data
- dataSettings.testData.data.description
- dataSettings.testData.data.jobInputType
- dataSettings.testData.data.mode
- dataSettings.testData.data.uri
- dataSettings.testData.testDataSize
- dataSettings.trainingData
- dataSettings.trainingData.data
- dataSettings.trainingData.data.description
- dataSettings.trainingData.data.jobInputType
- dataSettings.trainingData.data.mode
- dataSettings.trainingData.data.uri
- dataSettings.validationData
- dataSettings.validationData.data
- dataSettings.validationData.data.description
- dataSettings.validationData.data.jobInputType
- dataSettings.validationData.data.mode
- dataSettings.validationData.data.uri
- dataSettings.validationData.validationDataSize
- limitSettings
- limitSettings.maxConcurrentTrials
- limitSettings.maxTrials
- limitSettings.timeout
- modelSettings
- modelSettings.advancedSettings
- modelSettings.amsGradient
- modelSettings.augmentations
- modelSettings.beta1
- modelSettings.beta2
- modelSettings.checkpointDatasetId
- modelSettings.checkpointFilename
- modelSettings.checkpointFrequency
- modelSettings.checkpointRunId
- modelSettings.distributed
- modelSettings.earlyStopping
- modelSettings.earlyStoppingDelay
- modelSettings.earlyStoppingPatience
- modelSettings.enableOnnxNormalization
- modelSettings.evaluationFrequency
- modelSettings.gradientAccumulationStep
- modelSettings.layersToFreeze
- modelSettings.learningRate
- modelSettings.learningRateScheduler
- modelSettings.modelName
- modelSettings.momentum
- modelSettings.nesterov
- modelSettings.numberOfEpochs
- modelSettings.numberOfWorkers
- modelSettings.optimizer
- modelSettings.randomSeed
- modelSettings.splitRatio
- modelSettings.stepLRGamma
- modelSettings.stepLRStepSize
- modelSettings.trainingBatchSize
- modelSettings.trainingCropSize
- modelSettings.validationBatchSize
- modelSettings.validationCropSize
- modelSettings.validationResizeSizeSize
- modelSettings.warmupCosineLRCycles
- modelSettings.warmupCosineLRWarmupEpochs
- modelSettings.weightDecay
- modelSettings.weightedLoss
- layersToFreeze
- learningRate
- learningRateScheduler
- modelName
- impet
- nesterov
- numberOfEpochs
- numberOfWorkers
- Optymalizator
- randomSeed
- splitRatio
- stepLRGamma
- stepLRStepSize
- trainingBatchSize
- trainingCropSize
- validationBatchSize
- validationCropSize
- validationResizeSizeSize
- warmupCosineLRCycles
- warmupCosineLRWarmupEpochs
- weightDecay
- ważoneLoss
- evaluationFrequency
- gradientAccumulationKrok
- imageSize
- maxSize
- minSize
- modelSize
- wieloskalowa
- nmsIouThreshold
- tileGridSize
- tileOverlapRatio
- tilePredictionsNmsThreshold
- validationIouThreshold
- validationMetricType
- dropColumns
- dropColumns.enableDnnFeaturization
- dropColumns.mode
- dropColumns.transformerParams
- dropColumns.transformerParams. {niestandardowa właściwość}
- dropColumns.transformerParams. {niestandardowa właściwość}.fields
- dropColumns.transformerParams. {niestandardowa właściwość}.timeout
- dropColumns.transformerParams. {niestandardowa właściwość}.trialTimeout
- dropColumns.transformerParams.primaryMetric
- dropColumns.transformerParams.trainingSettings
- dropColumns.transformerParams.trainingSettings.enableDnnTraining
- dropColumns.transformerParams.trainingSettings.enableModelExplainability
- dropColumns.transformerParams.trainingSettings.enableOnnxCompatibleModels
- dropColumns.transformerParams.trainingSettings.enableStackEnsemble
- dropColumns.transformerParams.trainingSettings.enableVoteEnsemble
- dropColumns.transformerParams.trainingSettings.ensembleModelDownloadTimeout
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- dropColumns.transformerParams.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- dropColumns.transformerParams.taskType
- dropColumns.transformerParams.dataSettings
- dropColumns.transformerParams.dataSettings.targetColumnName
- dropColumns.transformerParams.dataSettings.testData
- dropColumns.transformerParams.dataSettings.testData.data
- dropColumns.transformerParams.dataSettings.testData.data.description
- dropColumns.transformerParams.dataSettings.testData.data.jobInputType
- dropColumns.transformerParams.dataSettings.testData.data.mode
- dropColumns.transformerParams.dataSettings.testData.data.uri
- dropColumns.transformerParams.dataSettings.testData.testDataSize
- dropColumns.transformerParams.dataSettings.trainingData
- dropColumns.transformerParams.dataSettings.trainingData.data
- dropColumns.transformerParams.dataSettings.trainingData.data.description
- dropColumns.transformerParams.dataSettings.trainingData.data.jobInputType
- dropColumns.transformerParams.dataSettings.trainingData.data.mode
- dropColumns.transformerParams.dataSettings.trainingData.data.uri
- dropColumns.transformerParams.dataSettings.validationData
- dropColumns.transformerParams.dataSettings.validationData.data
- dropColumns.transformerParams.dataSettings.validationData.data.description
- dropColumns.transformerParams.dataSettings.validationData.data.jobInputType
- dropColumns.transformerParams.dataSettings.validationData.data.mode
- dropColumns.transformerParams.dataSettings.validationData.data.uri
- dropColumns.transformerParams.dataSettings.validationData.validationDataSize
- dropColumns.transformerParams.featurizationSettings
- dropColumns.transformerParams.featurizationSettings.datasetLanguage
- dropColumns.transformerParams.limitSettings
- dropColumns.transformerParams.limitSettings.maxConcurrentTrials
- dropColumns.transformerParams.limitSettings.maxTrials
- dropColumns.transformerParams.limitSettings.timeout
- properties.services
- properties.services. {niestandardowa właściwość}
- properties.services.endpoint
- properties.services.jobServiceType
- properties.services.port
- properties.services.properties
- properties.services.properties. {niestandardowa właściwość}
- Tagi
- environmentId
- environmentVariables
- environmentVariables. {niestandardowa właściwość}
- Wyjść
- Wyjść. {niestandardowa właściwość}
- outputs.description
- outputs.jobOutputType
- outputs.mode
- outputs.uri
- zasoby
- resources.instanceCount
- resources.instanceType
- resources.properties
- resources.properties. {niestandardowa właściwość}
- taskDetails
- taskDetails.logVerbosity
- taskDetails.taskType
- taskDetails.allowedModels
- taskDetails.mode
- taskDetails.value
- validationDataSize
- weightColumnName
- cechowanieUstawienia
- cechowanieSettings.blockedTransformers
- limitSettings.enableEarlyTermination
- limitSettings.exitScore
- limitSettings.maxCoresPerTrial
- limitSettings.trialTimeout
- allowedModels
- blockedModels
- tryb
- wartość
- forecastingSettings
- forecastingSettings.countryOrRegionForHolidays
- forecastingSettings.cvStepSize
- forecastingSettings.featureLags
- forecastingSettings.forecastHorizon
- forecastingSettings.forecastHorizon.mode
- forecastingSettings.forecastHorizon.value
- forecastingSettings.frequency
- forecastingSettings.seasonality
- forecastingSettings.seasonality.mode
- forecastingSettings.seasonality.value
- forecastingSettings.shortSeriesHandlingConfig
- forecastingSettings.targetAggregateFunction
- forecastingSettings.targetLags
- forecastingSettings.targetLags.mode
- forecastingSettings.targetLags.values
- forecastingSettings.targetLags.distributionType
- forecastingSettings.targetLags.processCountPerInstance
- forecastingSettings.targetLags.parameterServerCount
- forecastingSettings.targetLags.workerCount
- forecastingSettings.targetRollingWindowSize
- forecastingSettings.targetRollingWindowSize.mode
- forecastingSettings.targetRollingWindowSize.value
- forecastingSettings.timeColumnName
- forecastingSettings.timeSeriesIdColumnNames
- forecastingSettings.timeSeriesIdColumnNames.useStl
- forecastingSettings.limitSettings
- forecastingSettings.limitSettings.enableEarlyTermination
- forecastingSettings.limitSettings.exitScore
- forecastingSettings.limitSettings.maxConcurrentTrials
- forecastingSettings.limitSettings.maxCoresPerTrial
- forecastingSettings.limitSettings.maxTrials
- forecastingSettings.limitSettings.timeout
- forecastingSettings.limitSettings.trialTimeout
- forecastingSettings.primaryMetric
- forecastingSettings.trainingSettings
- forecastingSettings.trainingSettings.enableDnnTraining
- forecastingSettings.trainingSettings.enableModelExplainability
- forecastingSettings.trainingSettings.enableOnnxCompatibleModels
- forecastingSettings.trainingSettings.enableStackEnsemble
- forecastingSettings.trainingSettings.enableVoteEnsemble
- forecastingSettings.trainingSettings.ensembleModelDownloadTimeout
- forecastingSettings.trainingSettings.stackEnsembleSettings
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
- forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
- forecastingSettings.taskType
- forecastingSettings.dataSettings
- forecastingSettings.dataSettings.targetColumnName
- forecastingSettings.dataSettings.testData
- forecastingSettings.dataSettings.testData.data
- forecastingSettings.dataSettings.testData.data.description
- forecastingSettings.dataSettings.testData.data.jobInputType
- forecastingSettings.dataSettings.testData.data.mode
- forecastingSettings.dataSettings.testData.data.uri
- forecastingSettings.dataSettings.testData.testDataSize
- forecastingSettings.dataSettings.trainingData
- forecastingSettings.dataSettings.trainingData.data
- forecastingSettings.dataSettings.trainingData.data.description
- forecastingSettings.dataSettings.trainingData.data.jobInputType
- forecastingSettings.dataSettings.trainingData.data.mode
- forecastingSettings.dataSettings.trainingData.data.uri
- forecastingSettings.dataSettings.validationData
- forecastingSettings.dataSettings.validationData.data
- forecastingSettings.dataSettings.validationData.data.description
- forecastingSettings.dataSettings.validationData.data.jobInputType
- forecastingSettings.dataSettings.validationData.data.mode
- forecastingSettings.dataSettings.validationData.data.uri
- forecastingSettings.dataSettings.validationData.validationDataSize
- forecastingSettings.modelSettings
- forecastingSettings.modelSettings.advancedSettings
- forecastingSettings.modelSettings.amsGradient
- forecastingSettings.modelSettings.augmentations
- forecastingSettings.modelSettings.beta1
- forecastingSettings.modelSettings.beta2
- forecastingSettings.modelSettings.checkpointDatasetId
- forecastingSettings.modelSettings.checkpointFilename
- forecastingSettings.modelSettings.checkpointFrequency
- forecastingSettings.modelSettings.checkpointRunId
- forecastingSettings.modelSettings.distributed
- forecastingSettings.modelSettings.earlyStopping
- forecastingSettings.modelSettings.earlyStoppingDelay
- forecastingSettings.modelSettings.earlyStoppingPatience
- forecastingSettings.modelSettings.enableOnnxNormalization
- forecastingSettings.modelSettings.evaluationFrequency
- forecastingSettings.modelSettings.gradientAccumulationStep
- forecastingSettings.modelSettings.layersToFreeze
- forecastingSettings.modelSettings.learningRate
- forecastingSettings.modelSettings.learningRateScheduler
- forecastingSettings.modelSettings.modelName
- forecastingSettings.modelSettings.momentum
- forecastingSettings.modelSettings.nesterov
- forecastingSettings.modelSettings.numberOfEpochs
- forecastingSettings.modelSettings.numberOfWorkers
- forecastingSettings.modelSettings.optimizer
- forecastingSettings.modelSettings.randomSeed
- forecastingSettings.modelSettings.splitRatio
- forecastingSettings.modelSettings.stepLRGamma
- forecastingSettings.modelSettings.stepLRStepSize
- forecastingSettings.modelSettings.trainingBatchSize
- forecastingSettings.modelSettings.trainingCropSize
- forecastingSettings.modelSettings.validationBatchSize
- forecastingSettings.modelSettings.validationCropSize
- forecastingSettings.modelSettings.validationResizeSize
- forecastingSettings.modelSettings.warmupCosineLRCycles
- forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
- forecastingSettings.modelSettings.weightDecay
- forecastingSettings.modelSettings.weightedLoss
- forecastingSettings.searchSpace
- forecastingSettings.mode
- forecastingSettings.uri
- validationData
- validationData.data
- validationData.data.description
- validationData.data.jobInputType
- validationData.data.mode
- validationData.data.uri
- validationData.validationDataSize
- Uri
- modelSettings.boxDetectionsPerImage
- modelSettings.boxScoreThreshold
- modelSettings.imageSize
- modelSettings.maxSize
- modelSettings.minSize
- modelSettings.modelSize
- modelSettings.multiScale
- modelSettings.nmsIouThreshold
- modelSettings.tileGridSize
- modelSettings.tileOverlapRatio
- modelSettings.tilePredictionsNmsThreshold
- modelSettings.validationIouThreshold
- modelSettings.validationMetricType
- testDataSize
- trainingData
- trainingData.data
- trainingData.data.description
- trainingData.data.jobInputType
- trainingData.data.mode
- trainingData.data.uri
- validationData.cvSplitColumnNames
- validationData.mode
- validationData.value
- cechowanieSettings.datasetLanguage
- codeId
- polecenie
- dystrybucja
- distribution.distributionType
- distribution.processCountPerInstance
- distribution.parameterServerCount
- distribution.workerCount
- Wejścia
- Wejścia. {niestandardowa właściwość}
- inputs.description
- inputs.jobInputType
- inputs.mode
- inputs.uri
- inputs.value
- Limity
- limits.jobLimitsType
- limits.timeout
- Zadania
- Zadania. {niestandardowa właściwość}
- Ustawienia
- limits.maxConcurrentTrials
- limits.maxTotalTrials
- limits.trialTimeout
- próbkowanieAlgorithm
- samplingAlgorithm.samplingAlgorithmType
- samplingAlgorithm.rule
- samplingAlgorithm.seed
- trial.resources
- trial.resources.instanceCount
- trial.resources.instanceType
- trial.resources.properties
- trial.resources.properties. {niestandardowa właściwość}
Usunięte:
- properties.tags
- properties.jobType
- properties.codeId
- properties.command
- properties.compute
- properties.compute.instanceCount
- properties.compute.instanceType
- properties.compute.isLocal
- properties.compute.location
- properties.compute.properties
- properties.compute.properties. {niestandardowa właściwość}
- properties.compute.target
- properties.distribution
- properties.distribution.distributionType
- properties.distribution.processCountPerInstance
- properties.distribution.processCount
- properties.distribution.parameterServerCount
- properties.distribution.workerCount
- properties.environmentId
- properties.environmentVariables
- properties.environmentVariables. {niestandardowa właściwość}
- properties.inputDataBindings
- properties.inputDataBindings. {niestandardowa właściwość}
- properties.inputDataBindings.dataId
- properties.inputDataBindings.mode
- properties.inputDataBindings.pathOnCompute
- outputDataBindings
- outputDataBindings. {niestandardowa właściwość}
- outputDataBindings.datastoreId
- outputDataBindings.mode
- outputDataBindings.pathOnCompute
- outputDataBindings.pathOnDatastore
- priorytet
- Limit czasu
- algorytm
- liczyć
- compute.instanceCount
- compute.instanceType
- compute.isLocal
- compute.location
- compute.properties
- compute.properties. {niestandardowa właściwość}
- compute.target
- experimentName
- tożsamość
- identity.identityType
- identity.clientId
- identity.objectId
- identity.resourceId
- maxConcurrentTrials
- maxTotalTrials
- searchSpace. {niestandardowa właściwość}
- trial.distribution.processCount
- trial.inputDataBindings
- trial.inputDataBindings. {niestandardowa właściwość}
- trial.inputDataBindings.dataId
- trial.inputDataBindings.mode
- trial.inputDataBindings.pathOnCompute
2021-03-01-preview
Najstarsza wersja śledzona w dzienniku zmian