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object SVDImputed

The SVDImputed companion object is used to perform imputation.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  6. def colMeans(b: MatrixD): VectorD

    Create a vector of mean values of each column without including 0's

    Create a vector of mean values of each column without including 0's

    b

    the input data matrix

  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: Any): Boolean
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  9. def finalize(): Unit
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  10. final def getClass(): Class[_]
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  11. def hashCode(): Int
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  12. def impute(b: MatrixD): MatrixD

    Impute values for missing values in the 'b' matrix using Column Mean Imputation.

    Impute values for missing values in the 'b' matrix using Column Mean Imputation.

    b

    the input data matrix

  13. final def isInstanceOf[T0]: Boolean
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  14. def minNZ(b: MatrixD): Double

    Return the minimum positive, non-zero element of the entire matrix.

    Return the minimum positive, non-zero element of the entire matrix.

    b

    the input data matrix

  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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  17. final def notifyAll(): Unit
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  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. final def wait(): Unit
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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