Class Regression
- java.lang.Object
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- com.azure.resourcemanager.machinelearning.models.AutoMLVertical
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- com.azure.resourcemanager.machinelearning.models.Regression
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public final class Regression extends AutoMLVertical
Regression task in AutoML Table vertical.
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Constructor Summary
Constructors Constructor Description Regression()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<RegressionModels>
allowedModels()
Get the allowedModels property: Allowed models for regression task.List<RegressionModels>
blockedModels()
Get the blockedModels property: Blocked models for regression task.TableVerticalDataSettings
dataSettings()
Get the dataSettings property: Data inputs for AutoMLJob.TableVerticalFeaturizationSettings
featurizationSettings()
Get the featurizationSettings property: Featurization inputs needed for AutoML job.TableVerticalLimitSettings
limitSettings()
Get the limitSettings property: Execution constraints for AutoMLJob.RegressionPrimaryMetrics
primaryMetric()
Get the primaryMetric property: Primary metric for regression task.TrainingSettings
trainingSettings()
Get the trainingSettings property: Inputs for training phase for an AutoML Job.void
validate()
Validates the instance.Regression
withAllowedModels(List<RegressionModels> allowedModels)
Set the allowedModels property: Allowed models for regression task.Regression
withBlockedModels(List<RegressionModels> blockedModels)
Set the blockedModels property: Blocked models for regression task.Regression
withDataSettings(TableVerticalDataSettings dataSettings)
Set the dataSettings property: Data inputs for AutoMLJob.Regression
withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)
Set the featurizationSettings property: Featurization inputs needed for AutoML job.Regression
withLimitSettings(TableVerticalLimitSettings limitSettings)
Set the limitSettings property: Execution constraints for AutoMLJob.Regression
withLogVerbosity(LogVerbosity logVerbosity)
Set the logVerbosity property: Log verbosity for the job.Regression
withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)
Set the primaryMetric property: Primary metric for regression task.Regression
withTrainingSettings(TrainingSettings trainingSettings)
Set the trainingSettings property: Inputs for training phase for an AutoML Job.-
Methods inherited from class com.azure.resourcemanager.machinelearning.models.AutoMLVertical
logVerbosity
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Method Detail
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allowedModels
public List<RegressionModels> allowedModels()
Get the allowedModels property: Allowed models for regression task.- Returns:
- the allowedModels value.
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withAllowedModels
public Regression withAllowedModels(List<RegressionModels> allowedModels)
Set the allowedModels property: Allowed models for regression task.- Parameters:
allowedModels
- the allowedModels value to set.- Returns:
- the Regression object itself.
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blockedModels
public List<RegressionModels> blockedModels()
Get the blockedModels property: Blocked models for regression task.- Returns:
- the blockedModels value.
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withBlockedModels
public Regression withBlockedModels(List<RegressionModels> blockedModels)
Set the blockedModels property: Blocked models for regression task.- Parameters:
blockedModels
- the blockedModels value to set.- Returns:
- the Regression object itself.
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primaryMetric
public RegressionPrimaryMetrics primaryMetric()
Get the primaryMetric property: Primary metric for regression task.- Returns:
- the primaryMetric value.
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withPrimaryMetric
public Regression withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)
Set the primaryMetric property: Primary metric for regression task.- Parameters:
primaryMetric
- the primaryMetric value to set.- Returns:
- the Regression object itself.
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dataSettings
public TableVerticalDataSettings dataSettings()
Get the dataSettings property: Data inputs for AutoMLJob.- Returns:
- the dataSettings value.
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withDataSettings
public Regression withDataSettings(TableVerticalDataSettings dataSettings)
Set the dataSettings property: Data inputs for AutoMLJob.- Parameters:
dataSettings
- the dataSettings value to set.- Returns:
- the Regression object itself.
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featurizationSettings
public TableVerticalFeaturizationSettings featurizationSettings()
Get the featurizationSettings property: Featurization inputs needed for AutoML job.- Returns:
- the featurizationSettings value.
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withFeaturizationSettings
public Regression withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)
Set the featurizationSettings property: Featurization inputs needed for AutoML job.- Parameters:
featurizationSettings
- the featurizationSettings value to set.- Returns:
- the Regression object itself.
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limitSettings
public TableVerticalLimitSettings limitSettings()
Get the limitSettings property: Execution constraints for AutoMLJob.- Returns:
- the limitSettings value.
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withLimitSettings
public Regression withLimitSettings(TableVerticalLimitSettings limitSettings)
Set the limitSettings property: Execution constraints for AutoMLJob.- Parameters:
limitSettings
- the limitSettings value to set.- Returns:
- the Regression object itself.
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trainingSettings
public TrainingSettings trainingSettings()
Get the trainingSettings property: Inputs for training phase for an AutoML Job.- Returns:
- the trainingSettings value.
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withTrainingSettings
public Regression withTrainingSettings(TrainingSettings trainingSettings)
Set the trainingSettings property: Inputs for training phase for an AutoML Job.- Parameters:
trainingSettings
- the trainingSettings value to set.- Returns:
- the Regression object itself.
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withLogVerbosity
public Regression 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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