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PredictionDriftMonitoringSignal Constructors

Definition

Overloads

PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringInputDataBase, MonitoringInputDataBase)

Initializes a new instance of PredictionDriftMonitoringSignal.

PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringModelType, MonitoringInputDataBase, MonitoringInputDataBase)

Initializes a new instance of PredictionDriftMonitoringSignal.

PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringInputDataBase, MonitoringInputDataBase)

Source:
PredictionDriftMonitoringSignal.cs

Initializes a new instance of PredictionDriftMonitoringSignal.

public PredictionDriftMonitoringSignal (System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> metricThresholds, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase productionData, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase referenceData);
new Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal : seq<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase -> Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal
Public Sub New (metricThresholds As IEnumerable(Of PredictionDriftMetricThresholdBase), productionData As MonitoringInputDataBase, referenceData As MonitoringInputDataBase)

Parameters

metricThresholds
IEnumerable<PredictionDriftMetricThresholdBase>

[Required] A list of metrics to calculate and their associated thresholds. Please note PredictionDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalPredictionDriftMetricThreshold and NumericalPredictionDriftMetricThreshold.

productionData
MonitoringInputDataBase

[Required] The data which drift will be calculated for. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, RollingInputData and StaticInputData.

referenceData
MonitoringInputDataBase

[Required] The data to calculate drift against. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, RollingInputData and StaticInputData.

Exceptions

metricThresholds, productionData or referenceData is null.

Applies to

PredictionDriftMonitoringSignal(IEnumerable<PredictionDriftMetricThresholdBase>, MonitoringModelType, MonitoringInputDataBase, MonitoringInputDataBase)

Source:
PredictionDriftMonitoringSignal.cs

Initializes a new instance of PredictionDriftMonitoringSignal.

public PredictionDriftMonitoringSignal (System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> metricThresholds, Azure.ResourceManager.MachineLearning.Models.MonitoringModelType modelType, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase productionData, Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase referenceData);
new Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal : seq<Azure.ResourceManager.MachineLearning.Models.PredictionDriftMetricThresholdBase> * Azure.ResourceManager.MachineLearning.Models.MonitoringModelType * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase * Azure.ResourceManager.MachineLearning.Models.MonitoringInputDataBase -> Azure.ResourceManager.MachineLearning.Models.PredictionDriftMonitoringSignal
Public Sub New (metricThresholds As IEnumerable(Of PredictionDriftMetricThresholdBase), modelType As MonitoringModelType, productionData As MonitoringInputDataBase, referenceData As MonitoringInputDataBase)

Parameters

metricThresholds
IEnumerable<PredictionDriftMetricThresholdBase>

[Required] A list of metrics to calculate and their associated thresholds. Please note PredictionDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalPredictionDriftMetricThreshold and NumericalPredictionDriftMetricThreshold.

modelType
MonitoringModelType

[Required] The type of the model monitored.

productionData
MonitoringInputDataBase

[Required] The data which drift will be calculated for. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, StaticInputData and TrailingInputData.

referenceData
MonitoringInputDataBase

[Required] The data to calculate drift against. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, StaticInputData and TrailingInputData.

Exceptions

metricThresholds, productionData or referenceData is null.

Applies to