org.apache.spark.mllib.stat.test

Class WelchTTest

Object

org.apache.spark.mllib.stat.test.WelchTTest

public class WelchTTest
extends Object

Performs Welch's 2-sample t-test. The null hypothesis is that the two data sets have equal mean. This test does not assume equal variance between the two samples and does not assume equal sample size.

See Also:

Welch's t-test (Wikipedia)

Constructor Summary

Constructors

Constructor and Description
WelchTTest()

Method Summary

Modifier and Type	Method and Description
static DStream<org.apache.spark.mllib.stat.test.StreamingTestResult>	doTest(DStream<scala.Tuple2<StatCounter,StatCounter>> data)
static void	initializeForcefully(boolean isInterpreter, boolean silent)
static String	methodName()
static String	nullHypothesis()
static void	org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)
static org.slf4j.Logger	org$apache$spark$internal$Logging$$log_()

Methods inherited from class Object

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

Constructor Detail

WelchTTest

public WelchTTest()

Method Detail

methodName

public static final String methodName()

nullHypothesis

public static final String nullHypothesis()

doTest

public static DStream<org.apache.spark.mllib.stat.test.StreamingTestResult> doTest(DStream<scala.Tuple2<StatCounter,StatCounter>> data)

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)

initializeForcefully

public static void initializeForcefully(boolean isInterpreter,
                                        boolean silent)