Class TableVerticalValidationDataSettings
- java.lang.Object
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- com.azure.resourcemanager.machinelearning.models.ValidationDataSettings
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- com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings
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public final class TableVerticalValidationDataSettings extends ValidationDataSettings
Validation settings for AutoML Table vertical tasks - Classification/Regression/Forecasting.
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Constructor Summary
Constructors Constructor Description TableVerticalValidationDataSettings()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<String>
cvSplitColumnNames()
Get the cvSplitColumnNames property: Columns to use for CVSplit data.NCrossValidations
nCrossValidations()
Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.void
validate()
Validates the instance.TableVerticalValidationDataSettings
withCvSplitColumnNames(List<String> cvSplitColumnNames)
Set the cvSplitColumnNames property: Columns to use for CVSplit data.TableVerticalValidationDataSettings
withData(MLTableJobInput data)
Set the data property: Validation data MLTable.TableVerticalValidationDataSettings
withNCrossValidations(NCrossValidations nCrossValidations)
Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.TableVerticalValidationDataSettings
withValidationDataSize(Double validationDataSize)
Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.-
Methods inherited from class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings
data, validationDataSize
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Method Detail
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cvSplitColumnNames
public List<String> cvSplitColumnNames()
Get the cvSplitColumnNames property: Columns to use for CVSplit data.- Returns:
- the cvSplitColumnNames value.
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withCvSplitColumnNames
public TableVerticalValidationDataSettings withCvSplitColumnNames(List<String> cvSplitColumnNames)
Set the cvSplitColumnNames property: Columns to use for CVSplit data.- Parameters:
cvSplitColumnNames
- the cvSplitColumnNames value to set.- Returns:
- the TableVerticalValidationDataSettings object itself.
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nCrossValidations
public NCrossValidations nCrossValidations()
Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.- Returns:
- the nCrossValidations value.
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withNCrossValidations
public TableVerticalValidationDataSettings withNCrossValidations(NCrossValidations nCrossValidations)
Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.- Parameters:
nCrossValidations
- the nCrossValidations value to set.- Returns:
- the TableVerticalValidationDataSettings object itself.
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withData
public TableVerticalValidationDataSettings withData(MLTableJobInput data)
Set the data property: Validation data MLTable.- Overrides:
withData
in classValidationDataSettings
- Parameters:
data
- the data value to set.- Returns:
- the ValidationDataSettings object itself.
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withValidationDataSize
public TableVerticalValidationDataSettings withValidationDataSize(Double validationDataSize)
Set the validationDataSize property: 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.- Overrides:
withValidationDataSize
in classValidationDataSettings
- Parameters:
validationDataSize
- the validationDataSize value to set.- Returns:
- the ValidationDataSettings object itself.
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validate
public void validate()
Validates the instance.- Overrides:
validate
in classValidationDataSettings
- Throws:
IllegalArgumentException
- thrown if the instance is not valid.
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