Class

org.apache.spark.mllib.feature

PCA

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class PCA extends AnyRef

A feature transformer that projects vectors to a low-dimensional space using PCA.

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@Since( "1.4.0" )
Source
PCA.scala
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Instance Constructors

  1. new PCA(k: Int)

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    k

    number of principal components

    Annotations
    @Since( "1.4.0" )

Value Members

  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. def finalize(): Unit

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  9. def fit(sources: JavaRDD[Vector]): PCAModel

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    Java-friendly version of fit().

    Java-friendly version of fit().

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    @Since( "1.4.0" )

  10. def fit(sources: RDD[Vector]): PCAModel

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    Computes a PCAModel that contains the principal components of the input vectors.

    Computes a PCAModel that contains the principal components of the input vectors.

    sources

    source vectors

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    @Since( "1.4.0" )

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. val k: Int

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    number of principal components

    number of principal components

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    @Since( "1.4.0" )

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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