GroupByClassificationModel

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. lazy val classLabels: Seq[String]

   Definition Classes

   GroupByClassificationModel → CategoricalRowModel

8. def classesForLoading: Set[Class[_]]

   This should return a representative class from every jar that is needed to load the object during deserialization.

   This should return a representative class from every jar that is needed to load the object during deserialization.

   Default implementation returns the class of MLModel, and the class of the model implementation.

   Definition Classes

   MLModel

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. lazy val dependentFeature: ColumnDef

    Definition Classes

    GroupByClassificationModel → ClassificationRowModel

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

    Definition Classes

    AnyRef

12. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

14. def getPFAConverter: PFAConverter

    Definition Classes

    GroupByClassificationModel → PFAConvertible

15. val groupByFeature: ColumnDef

    Definition Classes

    GroupByClassificationModel → GroupByModel

16. val identifier: String

    Used to identify this model when in a collection of models.

    Used to identify this model when in a collection of models. Should be simple characters, so it can be used in a feature name.

    returns

    identifier for the model.

    Definition Classes

    GroupByClassificationModel → RowModel

17. lazy val inputFeatures: Seq[ColumnDef]

    Definition Classes

    GroupByModel

18. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19. def isValid: Boolean

20. val modelsByGroup: Map[Any, ClassificationRowModel]

    Definition Classes

    GroupByClassificationModel → GroupByModel

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

    Definition Classes

    AnyRef

22. final def notify(): Unit

    Definition Classes

    AnyRef

23. final def notifyAll(): Unit

    Definition Classes

    AnyRef

24. def outputFeatures: Seq[ColumnDef]

    Definition Classes

    ClassificationRowModel → RowModel

25. def sqlOutputFeatures: Seq[ColumnDef]

    Definition Classes

    CategoricalRowModel → RowModel

26. def sqlScorable(sqlGenerator: SQLGenerator): Boolean

    Attributes

    protected

    Definition Classes

    GroupByModel

27. def sqlTransformer(sqlGenerator: SQLGenerator): Option[ClassificationSQLTransformer]

    Definition Classes

    GroupByClassificationModel → ClassificationRowModel → RowModel

28. def streamline(requiredOutputFeatureNames: Seq[String]): ClassificationRowModel

    Returns a streamlined version of this model, throwing away parts which are not required to produce the features with names in requiredOutputFeatureNames.

    Returns a streamlined version of this model, throwing away parts which are not required to produce the features with names in requiredOutputFeatureNames.

    Behaviour is undefined if requiredOutputFeatureNames is not actually a subset of outputFeatures.map(_columnName).

    The resulting model may still have more output features than those required (i.e. for ClassificationRowModel implementations which always have the same output features, or for OneHotEncodingModel whose output features naturally group together).

    requiredOutputFeatureNames

    names of the output features that the new model should produce.

    returns

    A model which has the same functionality for those output features listed, but potentially fewer input features.

    Definition Classes

    GroupByClassificationModel → ClassificationRowModel → RowModel

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

    Definition Classes

    AnyRef

30. def transformationSchema: DetailedTransformationSchema

    Definition Classes

    RowModel

31. def transformer: GroupByClassificationTransformer

    Definition Classes

    GroupByClassificationModel → ClassificationRowModel → CategoricalRowModel → RowModel

32. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )