org.apache.spark.mllib.stat

MultivariateStatisticalSummary

trait MultivariateStatisticalSummary extends AnyRef

Trait for multivariate statistical summary of a data matrix.

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@Since( "1.0.0" )
Source
MultivariateStatisticalSummary.scala
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AnyRef, Any
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MultivariateOnlineSummarizer
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  1. abstract def count: Long

    Sample size.

    Sample size.

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    @Since( "1.0.0" )

  2. abstract def max: Vector

    Maximum value of each column.

    Maximum value of each column.

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    @Since( "1.0.0" )

  3. abstract def mean: Vector

    Sample mean vector.

    Sample mean vector.

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    @Since( "1.0.0" )

  4. abstract def min: Vector

    Minimum value of each column.

    Minimum value of each column.

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    @Since( "1.0.0" )

  5. abstract def normL1: Vector

    L1 norm of each column

    L1 norm of each column

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    @Since( "1.2.0" )

  6. abstract def normL2: Vector

    Euclidean magnitude of each column

    Euclidean magnitude of each column

    Annotations
    @Since( "1.2.0" )

  7. abstract def numNonzeros: Vector

    Number of nonzero elements (including explicitly presented zero values) in each column.

    Number of nonzero elements (including explicitly presented zero values) in each column.

    Annotations
    @Since( "1.0.0" )

  8. abstract def variance: Vector

    Sample variance vector.

    Sample variance vector. Should return a zero vector if the sample size is 1.

    Annotations
    @Since( "1.0.0" )

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