org.apache.spark.mllib.linalg

Matrices

object Matrices

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

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

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  8. def dense(numRows: Int, numCols: Int, values: Array[Double]): Matrix

    Creates a column-major dense matrix.

    Creates a column-major dense matrix.

    numRows

    number of rows

    numCols

    number of columns

    values

    matrix entries in column major

  9. def diag(vector: Vector): Matrix

    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 tat 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

  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def eye(n: Int): Matrix

    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

  13. def finalize(): Unit

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  14. final def getClass(): Class[_]

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def ones(numRows: Int, numCols: Int): Matrix

    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

  21. def rand(numRows: Int, numCols: Int, rng: Random): Matrix

    Generate a DenseMatrix consisting of i.

    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)

  22. def randn(numRows: Int, numCols: Int, rng: Random): Matrix

    Generate a DenseMatrix consisting of i.

    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)

  23. def sparse(numRows: Int, numCols: Int, colPtrs: Array[Int], rowIndices: Array[Int], values: Array[Double]): Matrix

    Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.

    Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.

    numRows

    number of rows

    numCols

    number of columns

    colPtrs

    the index corresponding to the start of a new column

    rowIndices

    the row index of the entry

    values

    non-zero matrix entries in column major

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

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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  29. def zeros(numRows: Int, numCols: Int): Matrix

    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

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