Class

org.apache.spark.mllib.feature

PCAModel

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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: Any): Boolean

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. val explainedVariance: DenseVector

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    @Since( "1.6.0" )
  9. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. val k: Int

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    number of principal components.

    number of principal components.

    Annotations
    @Since( "1.4.0" )
  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val pc: DenseMatrix

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    a principal components Matrix.

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

    Annotations
    @Since( "1.4.0" )
  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  20. def transform(vector: Vector): Vector

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    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
    PCAModelVectorTransformer
    Annotations
    @Since( "1.4.0" )
  21. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

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    Applies transformation on a JavaRDD[Vector].

    Applies transformation on a JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )
  22. def transform(data: RDD[Vector]): RDD[Vector]

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    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" )
  23. final def wait(): Unit

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

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  25. 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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