Class ImageInstanceSegmentation
- java.lang.Object
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- com.azure.resourcemanager.machinelearning.models.AutoMLVertical
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- com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation
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public final class ImageInstanceSegmentation extends AutoMLVertical
Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level, drawing a polygon around each object in the image.
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Constructor Summary
Constructors Constructor Description ImageInstanceSegmentation()
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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.ImageModelSettingsObjectDetection
modelSettings()
Get the modelSettings property: Settings used for training the model.InstanceSegmentationPrimaryMetrics
primaryMetric()
Get the primaryMetric property: Primary metric to optimize for this task.List<ImageModelDistributionSettingsObjectDetection>
searchSpace()
Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.ImageSweepSettings
sweepSettings()
Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.void
validate()
Validates the instance.ImageInstanceSegmentation
withDataSettings(ImageVerticalDataSettings dataSettings)
Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.ImageInstanceSegmentation
withLimitSettings(ImageLimitSettings limitSettings)
Set the limitSettings property: [Required] Limit settings for the AutoML job.ImageInstanceSegmentation
withLogVerbosity(LogVerbosity logVerbosity)
Set the logVerbosity property: Log verbosity for the job.ImageInstanceSegmentation
withModelSettings(ImageModelSettingsObjectDetection modelSettings)
Set the modelSettings property: Settings used for training the model.ImageInstanceSegmentation
withPrimaryMetric(InstanceSegmentationPrimaryMetrics primaryMetric)
Set the primaryMetric property: Primary metric to optimize for this task.ImageInstanceSegmentation
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection> searchSpace)
Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.ImageInstanceSegmentation
withSweepSettings(ImageSweepSettings sweepSettings)
Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.-
Methods inherited from class com.azure.resourcemanager.machinelearning.models.AutoMLVertical
logVerbosity
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Method Detail
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primaryMetric
public InstanceSegmentationPrimaryMetrics primaryMetric()
Get the primaryMetric property: Primary metric to optimize for this task.- Returns:
- the primaryMetric value.
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withPrimaryMetric
public ImageInstanceSegmentation withPrimaryMetric(InstanceSegmentationPrimaryMetrics primaryMetric)
Set the primaryMetric property: Primary metric to optimize for this task.- Parameters:
primaryMetric
- the primaryMetric value to set.- Returns:
- the ImageInstanceSegmentation object itself.
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modelSettings
public ImageModelSettingsObjectDetection modelSettings()
Get the modelSettings property: Settings used for training the model.- Returns:
- the modelSettings value.
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withModelSettings
public ImageInstanceSegmentation withModelSettings(ImageModelSettingsObjectDetection modelSettings)
Set the modelSettings property: Settings used for training the model.- Parameters:
modelSettings
- the modelSettings value to set.- Returns:
- the ImageInstanceSegmentation object itself.
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searchSpace
public List<ImageModelDistributionSettingsObjectDetection> searchSpace()
Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.- Returns:
- the searchSpace value.
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withSearchSpace
public ImageInstanceSegmentation withSearchSpace(List<ImageModelDistributionSettingsObjectDetection> searchSpace)
Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.- Parameters:
searchSpace
- the searchSpace value to set.- Returns:
- the ImageInstanceSegmentation object itself.
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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 ImageInstanceSegmentation 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 ImageInstanceSegmentation 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 ImageInstanceSegmentation withLimitSettings(ImageLimitSettings limitSettings)
Set the limitSettings property: [Required] Limit settings for the AutoML job.- Parameters:
limitSettings
- the limitSettings value to set.- Returns:
- the ImageInstanceSegmentation 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 ImageInstanceSegmentation withSweepSettings(ImageSweepSettings sweepSettings)
Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.- Parameters:
sweepSettings
- the sweepSettings value to set.- Returns:
- the ImageInstanceSegmentation object itself.
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withLogVerbosity
public ImageInstanceSegmentation withLogVerbosity(LogVerbosity logVerbosity)
Set the logVerbosity property: Log verbosity for the job.- Overrides:
withLogVerbosity
in classAutoMLVertical
- Parameters:
logVerbosity
- the logVerbosity value to set.- Returns:
- the AutoMLVertical object itself.
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validate
public void validate()
Validates the instance.- Overrides:
validate
in classAutoMLVertical
- Throws:
IllegalArgumentException
- thrown if the instance is not valid.
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