Package com.azure.resourcemanager.machinelearning.models

Class TableVertical

java.lang.Object
com.azure.resourcemanager.machinelearning.models.TableVertical
All Implemented Interfaces:
com.azure.json.JsonSerializable<TableVertical>
public class TableVertical extends Object implements com.azure.json.JsonSerializable<TableVertical>
Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.

  • Constructor Details

    • TableVertical

      public TableVertical()
      Creates an instance of TableVertical class.

  • Method Details

    • limitSettings

      public TableVerticalLimitSettings limitSettings()
      Get the limitSettings property: Execution constraints for AutoMLJob.
      Returns:
      the limitSettings value.

    • withLimitSettings

      public TableVertical withLimitSettings(TableVerticalLimitSettings limitSettings)
      Set the limitSettings property: Execution constraints for AutoMLJob.
      Parameters:
      limitSettings - the limitSettings value to set.
      Returns:
      the TableVertical object itself.

    • 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.

    • withNCrossValidations

      public TableVertical 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 TableVertical object itself.

    • cvSplitColumnNames

      public List<String> cvSplitColumnNames()
      Get the cvSplitColumnNames property: Columns to use for CVSplit data.
      Returns:
      the cvSplitColumnNames value.

    • withCvSplitColumnNames

      public TableVertical withCvSplitColumnNames(List<String> cvSplitColumnNames)
      Set the cvSplitColumnNames property: Columns to use for CVSplit data.
      Parameters:
      cvSplitColumnNames - the cvSplitColumnNames value to set.
      Returns:
      the TableVertical object itself.

    • weightColumnName

      public String weightColumnName()
      Get the weightColumnName property: The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down.
      Returns:
      the weightColumnName value.

    • withWeightColumnName

      public TableVertical withWeightColumnName(String weightColumnName)
      Set the weightColumnName property: The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down.
      Parameters:
      weightColumnName - the weightColumnName value to set.
      Returns:
      the TableVertical object itself.

    • validationData

      public MLTableJobInput validationData()
      Get the validationData property: Validation data inputs.
      Returns:
      the validationData value.

    • withValidationData

      public TableVertical withValidationData(MLTableJobInput validationData)
      Set the validationData property: Validation data inputs.
      Parameters:
      validationData - the validationData value to set.
      Returns:
      the TableVertical object itself.

    • testData

      public MLTableJobInput testData()
      Get the testData property: Test data input.
      Returns:
      the testData value.

    • withTestData

      public TableVertical withTestData(MLTableJobInput testData)
      Set the testData property: Test data input.
      Parameters:
      testData - the testData value to set.
      Returns:
      the TableVertical object itself.

    • validationDataSize

      public Double validationDataSize()
      Get 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.
      Returns:
      the validationDataSize value.

    • withValidationDataSize

      public TableVertical 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.
      Parameters:
      validationDataSize - the validationDataSize value to set.
      Returns:
      the TableVertical object itself.

    • testDataSize

      public Double testDataSize()
      Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided.
      Returns:
      the testDataSize value.

    • withTestDataSize

      public TableVertical withTestDataSize(Double testDataSize)
      Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided.
      Parameters:
      testDataSize - the testDataSize value to set.
      Returns:
      the TableVertical object itself.

    • featurizationSettings

      public TableVerticalFeaturizationSettings featurizationSettings()
      Get the featurizationSettings property: Featurization inputs needed for AutoML job.
      Returns:
      the featurizationSettings value.

    • withFeaturizationSettings

      public TableVertical withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)
      Set the featurizationSettings property: Featurization inputs needed for AutoML job.
      Parameters:
      featurizationSettings - the featurizationSettings value to set.
      Returns:
      the TableVertical object itself.

    • validate

      public void validate()
      Validates the instance.
      Throws:
      IllegalArgumentException - thrown if the instance is not valid.

    • toJson

      public com.azure.json.JsonWriter toJson(com.azure.json.JsonWriter jsonWriter) throws IOException
      Specified by:
      toJson in interface com.azure.json.JsonSerializable<TableVertical>
      Throws:
      IOException

    • fromJson

      public static TableVertical fromJson(com.azure.json.JsonReader jsonReader) throws IOException
      Reads an instance of TableVertical from the JsonReader.
      Parameters:
      jsonReader - The JsonReader being read.
      Returns:
      An instance of TableVertical if the JsonReader was pointing to an instance of it, or null if it was pointing to JSON null.
      Throws:
      IOException - If an error occurs while reading the TableVertical.