org.apache.spark.mllib.feature

Class PCAModel

java.lang.Object

org.apache.spark.mllib.feature.PCAModel

All Implemented Interfaces:

java.io.Serializable, VectorTransformer

public class PCAModel
extends java.lang.Object
implements VectorTransformer

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

param: k number of principal components. param: pc a principal components Matrix. Each column is one principal component.

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
DenseVector	explainedVariance()
int	k()
DenseMatrix	pc()
Vector	transform(Vector vector) Transform a vector by computed Principal Components.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.spark.mllib.feature.VectorTransformer

transform, transform

Method Detail

k

public int k()

pc

public DenseMatrix pc()

explainedVariance

public DenseVector explainedVariance()

transform

public Vector transform(Vector vector)

Transform a vector by computed Principal Components.

Specified by:

transform in interface VectorTransformer

Parameters:

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.