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Estimator

abstract class Estimator[A, B] extends EstimatorNode

An estimator has a fit method which takes an input and emits a Transformer

A

The type of input this estimator (and the resulting Transformer) takes

B

The output type of the node this estimator produces when being fit

Linear Supertypes
EstimatorNode, Serializable, Serializable, Node, AnyRef, Any
Known Subclasses
AllSparseFeatures, ColumnPCAEstimator, CommonSparseFeatures, GMMFisherVectorEstimator, GaussianMixtureModelEstimator, PCAEstimator, StandardScaler, StupidBackoffEstimator, WordFrequencyEncoder, ZCAWhitenerEstimator
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Inherited
  1. Estimator
  2. EstimatorNode
  3. Serializable
  4. Serializable
  5. Node
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Visibility
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Instance Constructors

  1. new Estimator()

Abstract Value Members

  1. abstract def fit(data: RDD[A]): Transformer[A, B]

    An estimator has a fit method which emits a Transformer.

    An estimator has a fit method which emits a Transformer.

    data

    Input data.

    returns

    A Transformer which can be called on new data.

    Attributes
    protected

Concrete 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
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  6. final def asInstanceOf[T0]: T0

    Definition Classes
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  7. def clone(): AnyRef

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

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

    Definition Classes
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  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

    Definition Classes
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  12. def hashCode(): Int

    Definition Classes
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  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  14. def label: String

    Definition Classes
    Node

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

    Definition Classes
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  19. def toString(): String

    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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    @throws( ... )

  23. def withData(data: RDD[A]): Pipeline[A, B]

    Constructs a pipeline from a single estimator and training data.

    Constructs a pipeline from a single estimator and training data. Equivalent to Pipeline() andThen (estimator, data)

    data

    The training data

Inherited from EstimatorNode

Inherited from Serializable

Inherited from Serializable

Inherited from Node

Inherited from AnyRef

Inherited from Any

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