org.apache.spark.mllib.feature

PCAModel

class PCAModel extends VectorTransformer

Model fitted by PCA that can project vectors to a low-dimensional space using PCA.

Annotations
@Since( "1.4.0" )
Source
PCA.scala
Linear Supertypes
VectorTransformer, Serializable, Serializable, AnyRef, Any
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  1. PCAModel
  2. VectorTransformer
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  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
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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )

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

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

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    AnyRef → Any

  10. def finalize(): Unit

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

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. val k: Int

    number of principal components.

    number of principal components.

    Annotations
    @Since( "1.4.0" )

  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 pc: DenseMatrix

    a principal components Matrix.

    a principal components Matrix. Each column is one principal component.

    Annotations
    @Since( "1.4.0" )

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

    Definition Classes
    AnyRef

  20. def toString(): String

    Definition Classes
    AnyRef → Any

  21. def transform(vector: Vector): Vector

    Transform a vector by computed Principal Components.

    Transform a vector by computed Principal Components.

    vector

    vector to be transformed. Vector must be the same length as the source vectors given to PCA.fit().

    returns

    transformed vector. Vector will be of length k.

    Definition Classes
    PCAModel → VectorTransformer
    Annotations
    @Since( "1.4.0" )

  22. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    Applies transformation on an JavaRDD[Vector].

    Applies transformation on an JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )

  23. def transform(data: RDD[Vector]): RDD[Vector]

    Applies transformation on an RDD[Vector].

    Applies transformation on an RDD[Vector].

    data

    RDD[Vector] to be transformed.

    returns

    transformed RDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )

  24. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from VectorTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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