ImageObjectDetectionBase interface
Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
- Extends
Properties
model |
Settings used for training the model. |
search |
Search space for sampling different combinations of models and their hyperparameters. |
Inherited Properties
limit |
[Required] Limit settings for the AutoML job. |
sweep |
Model sweeping and hyperparameter sweeping related settings. |
validation |
Validation data inputs. |
validation |
The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided. |
Property Details
modelSettings
Settings used for training the model.
modelSettings?: ImageModelSettingsObjectDetection
Property Value
searchSpace
Search space for sampling different combinations of models and their hyperparameters.
searchSpace?: ImageModelDistributionSettingsObjectDetection[]
Property Value
Inherited Property Details
limitSettings
[Required] Limit settings for the AutoML job.
limitSettings: ImageLimitSettings
Property Value
Inherited From ImageVertical.limitSettings
sweepSettings
Model sweeping and hyperparameter sweeping related settings.
sweepSettings?: ImageSweepSettings
Property Value
Inherited From ImageVertical.sweepSettings
validationData
Validation data inputs.
validationData?: MLTableJobInput
Property Value
Inherited From ImageVertical.validationData
validationDataSize
The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided.
validationDataSize?: number
Property Value
number
Inherited From ImageVertical.validationDataSize