org.apache.spark.mllib.stat.test

TestResult

trait TestResult[DF] extends AnyRef

:: Experimental :: Trait for hypothesis test results.

DF

Return type of degreesOfFreedom.

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@Experimental() @Since( "1.1.0" )
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  1. abstract def degreesOfFreedom: DF

    Returns the degree(s) of freedom of the hypothesis test.

    Returns the degree(s) of freedom of the hypothesis test. Return type should be Number(e.g. Int, Double) or tuples of Numbers for toString compatibility.

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    @Since( "1.1.0" )
  2. abstract def nullHypothesis: String

    Null hypothesis of the test.

    Null hypothesis of the test.

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    @Since( "1.1.0" )
  3. abstract def pValue: Double

    The probability of obtaining a test statistic result at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.

    The probability of obtaining a test statistic result at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.

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    @Since( "1.1.0" )
  4. abstract def statistic: Double

    Test statistic.

    Test statistic.

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    @Since( "1.1.0" )

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  1. final def !=(arg0: AnyRef): Boolean

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

    String explaining the hypothesis test result.

    String explaining the hypothesis test result. Specific classes implementing this trait should override this method to output test-specific information.

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    TestResult → AnyRef → Any
  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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