org.apache.spark.mllib.stat.test

Class StudentTTest

Object

org.apache.spark.mllib.stat.test.StudentTTest

public class StudentTTest
extends Object

Performs Students's 2-sample t-test. The null hypothesis is that the two data sets have equal mean. This test assumes equal variance between the two samples and does not assume equal sample size. For unequal variances, Welch's t-test should be used instead.

See Also:

Student's t-test (Wikipedia)

Constructor Summary

Constructors

Constructor and Description
StudentTTest()

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

StudentTTest

public StudentTTest()

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)