Package org.apache.spark.mllib.feature

Class PCAModel

Object

org.apache.spark.mllib.feature.PCAModel

All Implemented Interfaces:

Serializable, VectorTransformer

public class PCAModel
extends 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

Modifier and Type	Method	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

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

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

transform, transform

Method Details

explainedVariance

public DenseVector explainedVariance()

k

public int k()

pc

public DenseMatrix pc()

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.