Package org.apache.spark.mllib.stat.test

Class ChiSqTest

Object

org.apache.spark.mllib.stat.test.ChiSqTest

public class ChiSqTest
extends Object

Conduct the chi-squared test for the input RDDs using the specified method. Goodness-of-fit test is conducted on two Vectors, whereas test of independence is conducted on an input of type Matrix in which independence between columns is assessed. We also provide a method for computing the chi-squared statistic between each feature and the label for an input RDD[LabeledPoint], return an Array[ChiSquaredTestResult] of size = number of features in the input RDD.

Supported methods for goodness of fit: pearson (default) Supported methods for independence: pearson (default)

More information on Chi-squared test: http://en.wikipedia.org/wiki/Chi-squared_test

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ChiSqTest.Method	param: name String name for the method.
static class	ChiSqTest.Method$
static class	ChiSqTest.NullHypothesis$

Constructor Summary

Constructors

Constructor	Description
ChiSqTest()

Method Summary

Modifier and Type	Method	Description
static ChiSqTestResult	chiSquared(Vector observed, Vector expected, String methodName)
static ChiSqTestResult[]	chiSquaredFeatures(RDD<LabeledPoint> data, String methodName)	Conduct Pearson's independence test for each feature against the label across the input RDD.
static ChiSqTestResult	chiSquaredMatrix(Matrix counts, String methodName)
static org.slf4j.Logger	org$apache$spark$internal$Logging$$log_()
static void	org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)
static ChiSqTest.Method	PEARSON()

Methods inherited from class java.lang.Object

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

Constructor Details

ChiSqTest

public ChiSqTest()

Method Details

PEARSON

public static ChiSqTest.Method PEARSON()

chiSquaredFeatures

public static ChiSqTestResult[] chiSquaredFeatures(RDD<LabeledPoint> data,
 String methodName)

Conduct Pearson's independence test for each feature against the label across the input RDD. The contingency table is constructed from the raw (feature, label) pairs and used to conduct the independence test. Returns an array containing the ChiSquaredTestResult for every feature against the label.

Parameters:

data - (undocumented)

methodName - (undocumented)

Returns:

(undocumented)

chiSquared

public static ChiSqTestResult chiSquared(Vector observed,
 Vector expected,
 String methodName)

chiSquaredMatrix

public static ChiSqTestResult chiSquaredMatrix(Matrix counts,
 String methodName)

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)