com.alpine.model.pack.preprocess

OneHotEncodingModel

case class OneHotEncodingModel(oneHotEncodedFeatures: Seq[OneHotEncodedFeature], inputFeatures: Seq[ColumnDef], identifier: String = "") extends RowModel with Product with Serializable

Model to apply one-hot encoding to categorical input features. Result will be a sequence of 1s and 0s.

Linear Supertypes
Product, Equals, RowModel, MLModel, Serializable, Serializable, AnyRef, Any
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Inherited
  1. OneHotEncodingModel
  2. Product
  3. Equals
  4. RowModel
  5. MLModel
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
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Instance Constructors

  1. new OneHotEncodingModel(oneHotEncodedFeatures: Seq[OneHotEncodedFeature], inputFeatures: Seq[ColumnDef], identifier: String = "")

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. 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

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. 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
    OneHotEncodingModel → RowModel

  13. val inputFeatures: Seq[ColumnDef]

    Definition Classes
    OneHotEncodingModel → RowModel

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. val oneHotEncodedFeatures: Seq[OneHotEncodedFeature]

  19. def outputFeatures: Seq[ColumnDef]

    Definition Classes
    OneHotEncodingModel → RowModel

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

    Definition Classes
    AnyRef

  21. def transformationSchema: DetailedTransformationSchema

    Definition Classes
    RowModel

  22. def transformer: OneHotEncodingTransformer

    Definition Classes
    OneHotEncodingModel → RowModel

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from RowModel

Inherited from MLModel

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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