Object/Class

org.apache.spark.mllib.linalg

DenseMatrix

Related Docs: class DenseMatrix | package linalg

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object DenseMatrix extends Serializable

Factory methods for org.apache.spark.mllib.linalg.DenseMatrix.

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@Since( "1.3.0" )
Source
Matrices.scala
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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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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def diag(vector: Vector): DenseMatrix

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    Generate a diagonal matrix in DenseMatrix format from the supplied values.

    Generate a diagonal matrix in DenseMatrix format from the supplied values.

    vector

    a Vector that will form the values on the diagonal of the matrix

    returns

    Square DenseMatrix with size values.length x values.length and values on the diagonal

    Annotations
    @Since( "1.3.0" )
  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def eye(n: Int): DenseMatrix

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    Generate an Identity Matrix in DenseMatrix format.

    Generate an Identity Matrix in DenseMatrix format.

    n

    number of rows and columns of the matrix

    returns

    DenseMatrix with size n x n and values of ones on the diagonal

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    @Since( "1.3.0" )
  10. def finalize(): Unit

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  11. def fromML(m: ml.linalg.DenseMatrix): DenseMatrix

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    Convert new linalg type to spark.mllib type.

    Convert new linalg type to spark.mllib type. Light copy; only copies references

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    @Since( "2.0.0" )
  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  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. def ones(numRows: Int, numCols: Int): DenseMatrix

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    Generate a DenseMatrix consisting of ones.

    Generate a DenseMatrix consisting of ones.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    DenseMatrix with size numRows x numCols and values of ones

    Annotations
    @Since( "1.3.0" )
  19. def rand(numRows: Int, numCols: Int, rng: Random): DenseMatrix

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    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    DenseMatrix with size numRows x numCols and values in U(0, 1)

    Annotations
    @Since( "1.3.0" )
  20. def randn(numRows: Int, numCols: Int, rng: Random): DenseMatrix

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    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    DenseMatrix with size numRows x numCols and values in N(0, 1)

    Annotations
    @Since( "1.3.0" )
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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  26. def zeros(numRows: Int, numCols: Int): DenseMatrix

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    Generate a DenseMatrix consisting of zeros.

    Generate a DenseMatrix consisting of zeros.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    DenseMatrix with size numRows x numCols and values of zeros

    Annotations
    @Since( "1.3.0" )

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