Package org.apache.spark.mllib.feature

Class PCA

Object

org.apache.spark.mllib.feature.PCA

public class PCA
extends Object

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

param: k number of principal components

Constructor Summary

Constructors

Constructor	Description
PCA(int k)

Method Summary

Modifier and Type	Method	Description
PCAModel	fit(JavaRDD<Vector> sources)	Java-friendly version of fit().
PCAModel	fit(RDD<Vector> sources)	Computes a PCAModel that contains the principal components of the input vectors.
int	k()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

PCA

public PCA(int k)

Method Details

fit

public PCAModel fit(RDD<Vector> sources)

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

Parameters:

sources - source vectors

Returns:

(undocumented)

fit

public PCAModel fit(JavaRDD<Vector> sources)

Java-friendly version of fit().

Parameters:

sources - (undocumented)

Returns:

(undocumented)

k

public int k()