Package org.apache.spark.mllib.stat.correlation

Class PearsonCorrelation

Object

org.apache.spark.mllib.stat.correlation.PearsonCorrelation

public class PearsonCorrelation
extends Object

Compute Pearson correlation for two RDDs of the type RDD[Double] or the correlation matrix for an RDD of the type RDD[Vector].

Definition of Pearson correlation can be found at http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient

Constructor Summary

Constructors

Constructor	Description
PearsonCorrelation()

Method Summary

Modifier and Type	Method	Description
static double	computeCorrelation(RDD<Object> x, RDD<Object> y)	Compute the Pearson correlation for two datasets.
static Matrix	computeCorrelationMatrix(RDD<Vector> X)	Compute the Pearson correlation matrix S, for the input matrix, where S(i, j) is the correlation between column i and j. 0 covariance results in a correlation value of Double.NaN.
static Matrix	computeCorrelationMatrixFromCovariance(Matrix covarianceMatrix)	Compute the Pearson correlation matrix from the covariance matrix. 0 variance results in a correlation value of Double.NaN.
static double	computeCorrelationWithMatrixImpl(RDD<Object> x, RDD<Object> y)
static org.slf4j.Logger	org$apache$spark$internal$Logging$$log_()
static void	org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)

Methods inherited from class java.lang.Object

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

Constructor Details

PearsonCorrelation

public PearsonCorrelation()

Method Details

computeCorrelation

public static double computeCorrelation(RDD<Object> x,
 RDD<Object> y)

Compute the Pearson correlation for two datasets. NaN if either vector has 0 variance.

Parameters:

x - (undocumented)

y - (undocumented)

Returns:

(undocumented)

computeCorrelationMatrix

public static Matrix computeCorrelationMatrix(RDD<Vector> X)

Compute the Pearson correlation matrix S, for the input matrix, where S(i, j) is the correlation between column i and j. 0 covariance results in a correlation value of Double.NaN.

Parameters:

X - (undocumented)

Returns:

(undocumented)

computeCorrelationMatrixFromCovariance

public static Matrix computeCorrelationMatrixFromCovariance(Matrix covarianceMatrix)

Compute the Pearson correlation matrix from the covariance matrix. 0 variance results in a correlation value of Double.NaN.

Parameters:

covarianceMatrix - (undocumented)

Returns:

(undocumented)

computeCorrelationWithMatrixImpl

public static double computeCorrelationWithMatrixImpl(RDD<Object> x,
 RDD<Object> y)

org$apache$spark$internal$Logging$$log_

public static org.slf4j.Logger org$apache$spark$internal$Logging$$log_()

org$apache$spark$internal$Logging$$log__$eq

public static void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)