ml.combust.mleap.runtime.transformer.classification

MultiLayerPerceptronClassifier

case class MultiLayerPerceptronClassifier(uid: String = ..., shape: NodeShape, model: MultiLayerPerceptronClassifierModel) extends SimpleTransformer with Product with Serializable

Created by hollinwilkins on 12/25/16.

Linear Supertypes
Serializable, Serializable, Product, Equals, SimpleTransformer, BaseTransformer, Transformer, AutoCloseable, AnyRef, Any
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Inherited
  1. MultiLayerPerceptronClassifier
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. SimpleTransformer
  7. BaseTransformer
  8. Transformer
  9. AutoCloseable
  10. AnyRef
  11. Any
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Instance Constructors

  1. new MultiLayerPerceptronClassifier(uid: String = ..., shape: NodeShape, model: MultiLayerPerceptronClassifierModel)

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 clone(): AnyRef

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

  8. def close(): Unit

    Definition Classes
    Transformer → AutoCloseable

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

    Definition Classes
    AnyRef

  10. val exec: UserDefinedFunction

    Definition Classes
    MultiLayerPerceptronClassifier → BaseTransformer

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def inputSchema: StructType

    Get the input schema of this transformer.

    Get the input schema of this transformer.

    The input schema is the recommended values to pass in to this transformer.

    returns

    input schema

    Definition Classes
    Transformer

  14. val inputs: Seq[String]

    Definition Classes
    BaseTransformer

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. val model: MultiLayerPerceptronClassifierModel

    Model for this transformer

    Model for this transformer

    Definition Classes
    MultiLayerPerceptronClassifier → Transformer

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  20. val output: String

    Definition Classes
    SimpleTransformer

  21. def outputSchema: StructType

    Get the output schema of this transformer.

    Get the output schema of this transformer.

    The outputs schema is the actual output datatype(s) of this transformer that will be produced.

    returns

    output schema

    Definition Classes
    Transformer

  22. def schema: StructType

    Get the full schema of this transformer (inputs ++ outputs).

    Get the full schema of this transformer (inputs ++ outputs).

    returns

    full schema of this transformer

    Definition Classes
    Transformer

  23. val selectors: Seq[Selector]

    Definition Classes
    BaseTransformer

  24. val shape: NodeShape

    Shape of inputs/outputs

    Shape of inputs/outputs

    Definition Classes
    MultiLayerPerceptronClassifier → Transformer

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

    Definition Classes
    AnyRef

  26. def transform[TB <: TransformBuilder[TB]](builder: TB): Try[TB]

    Transform a builder using this MLeap transformer.

    Transform a builder using this MLeap transformer.

    TB

    underlying class of builder

    builder

    builder to transform

    returns

    try new builder with transformation applied

    Definition Classes
    SimpleTransformer → Transformer

  27. lazy val typedExec: UserDefinedFunction

    Definition Classes
    SimpleTransformer

  28. val uid: String

    Unique identifier for this transformer.

    Unique identifier for this transformer.

    Definition Classes
    MultiLayerPerceptronClassifier → Transformer

  29. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from SimpleTransformer

Inherited from BaseTransformer

Inherited from Transformer

Inherited from AutoCloseable

Inherited from AnyRef

Inherited from Any

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