Class ImageVertical
- java.lang.Object
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- com.azure.resourcemanager.machinelearning.models.ImageVertical
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- Direct Known Subclasses:
ImageClassificationBase
,ImageObjectDetectionBase
public class ImageVertical extends Object
Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
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Constructor Summary
Constructors Constructor Description ImageVertical()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ImageVerticalDataSettings
dataSettings()
Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.ImageLimitSettings
limitSettings()
Get the limitSettings property: [Required] Limit settings for the AutoML job.ImageSweepSettings
sweepSettings()
Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.void
validate()
Validates the instance.ImageVertical
withDataSettings(ImageVerticalDataSettings dataSettings)
Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.ImageVertical
withLimitSettings(ImageLimitSettings limitSettings)
Set the limitSettings property: [Required] Limit settings for the AutoML job.ImageVertical
withSweepSettings(ImageSweepSettings sweepSettings)
Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
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Method Detail
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dataSettings
public ImageVerticalDataSettings dataSettings()
Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.- Returns:
- the dataSettings value.
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withDataSettings
public ImageVertical withDataSettings(ImageVerticalDataSettings dataSettings)
Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.- Parameters:
dataSettings
- the dataSettings value to set.- Returns:
- the ImageVertical object itself.
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limitSettings
public ImageLimitSettings limitSettings()
Get the limitSettings property: [Required] Limit settings for the AutoML job.- Returns:
- the limitSettings value.
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withLimitSettings
public ImageVertical withLimitSettings(ImageLimitSettings limitSettings)
Set the limitSettings property: [Required] Limit settings for the AutoML job.- Parameters:
limitSettings
- the limitSettings value to set.- Returns:
- the ImageVertical object itself.
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sweepSettings
public ImageSweepSettings sweepSettings()
Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.- Returns:
- the sweepSettings value.
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withSweepSettings
public ImageVertical withSweepSettings(ImageSweepSettings sweepSettings)
Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.- Parameters:
sweepSettings
- the sweepSettings value to set.- Returns:
- the ImageVertical object itself.
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validate
public void validate()
Validates the instance.- Throws:
IllegalArgumentException
- thrown if the instance is not valid.
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