FeatureInteractionBase

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final val AGGREGATE_COLUMN: String

   

5. final val COUNT_COLUMN: String

   

6. final val ENTROPY_COLUMN: String

   

7. final val FIELD_ENTROPY_COLUMN: String

   

8. final val INDEXED_SUFFIX: String

   

9. final val QUANTILE_PRECISION: Double

   

10. final val QUANTILE_THRESHOLD: Double

    

11. final val RATIO_COLUMN: String

    

12. final val TOTAL_RATIO_COLUMN: String

    

13. final val VARIANCE_STATISTIC: String

    

14. final def asInstanceOf[T0]: T0

    

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15. def calculatePercentageChange(before: Double, after: Double): Double

    

    Method for evaluating the percentage change to the score metric to normalize.

    Method for evaluating the percentage change to the score metric to normalize.

    before

    Score of a parent feature

    after

    Score of an interaction feature

    returns

    the percentage change

    Attributes

    protected[com.databricks.labs.automl.feature]

    Since

    0.6.2

16. def clone(): AnyRef

    

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    protected[java.lang]

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17. final def eq(arg0: AnyRef): Boolean

    

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18. def equals(arg0: Any): Boolean

    

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19. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

20. def generateInteractionCandidates(featureColumns: Array[ColumnTypeData]): Array[InteractionPayload]

    

    Method for generating a collection of Interaction Candidates to be tested and applied to the feature set if the tests for inclusion pass.

    Method for generating a collection of Interaction Candidates to be tested and applied to the feature set if the tests for inclusion pass.

    featureColumns

    List of the columns that make up the feature vector

    returns

    Array of InteractionPayload values.

    Attributes

    protected[com.databricks.labs.automl.feature]

    Since

    0.6.2

21. def generateNominalIndexesInteractionFields(payload: FeatureInteractionCollection): NominalDataCollection

    

    Method for converting nominal interaction fields to a new StringIndexed value to preserve information type and eliminate the possibility of data distribution skew

    Method for converting nominal interaction fields to a new StringIndexed value to preserve information type and eliminate the possibility of data distribution skew

    payload

    FeatureInteractionCollection of the source parents and their interacted children fields

    returns

    NominalDataCollecction payload containing a DataFrame that has new StringIndexed fields for nominal interactions and the fields that need to be seen as included in the final feature vector

    Attributes

    protected[com.databricks.labs.automl.feature]

    Since

    0.6.2

22. final def getClass(): Class[_]

    

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23. def getFieldType(fieldType: String): structures.FieldEncodingType.Value

    

    Attributes

    protected[com.databricks.labs.automl.feature]

24. def getModelType(modelingType: String): structures.ModelingType.Value

    

    Attributes

    protected[com.databricks.labs.automl.feature]

25. def getRetentionMode(retentionMode: String): structures.InteractionRetentionMode.Value

    

    Attributes

    protected[com.databricks.labs.automl.feature]

26. def hashCode(): Int

    

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27. def interactProduct(df: DataFrame, candidate: InteractionPayload): DataFrame

    

    Method for generating a product interaction between feature columns

    Method for generating a product interaction between feature columns

    df

    A DataFrame to add a field for an interaction between two columns

    candidate

    InteractionPayload information about the two parent columns and the name of the new interaction column to be created.

    returns

    A modified DataFrame with the new column.

    Attributes

    protected[com.databricks.labs.automl.feature]

    Since

    0.6.2

28. final def isInstanceOf[T0]: Boolean

    

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29. final def ne(arg0: AnyRef): Boolean

    

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30. final def notify(): Unit

    

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31. final def notifyAll(): Unit

    

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32. def regenerateFeatureVector(df: DataFrame, preInteractedFields: Array[String], interactedFields: Array[String], featureCol: String): VectorAssemblyOutput

    

    Helper method for recreating the feature vector after interactions have been completed on individual columns

    Helper method for recreating the feature vector after interactions have been completed on individual columns

    df

    DataFrame containing the interacted fields with the original feature vector dropped

    preInteractedFields

    Fields making up the original vector before interaction

    interactedFields

    Interaction candidate fields that have been selected to be included in the final feature vector

    featureCol

    Name of the feature vector field

    returns

    DataFrame with a new feature vector.

    Attributes

    protected[com.databricks.labs.automl.feature]

    Since

    0.6.2

33. final def synchronized[T0](arg0: ⇒ T0): T0

    

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34. def toString(): String

    

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35. final def wait(): Unit

    

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    @throws( ... )

36. final def wait(arg0: Long, arg1: Int): Unit

    

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37. final def wait(arg0: Long): Unit

    

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