Object/Class

org.apache.flink.ml.math

SparseMatrix

Related Docs: class SparseMatrix | package math

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object SparseMatrix extends Serializable

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

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  9. def fromCOO(numRows: Int, numCols: Int, entry: (Int, Int, Int)): SparseMatrix

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    Convenience method to convert a single tuple with an integer value into a SparseMatrix.

    Convenience method to convert a single tuple with an integer value into a SparseMatrix. The problem is that providing a single tuple to the fromCOO method, the Scala type inference cannot infer that the tuple has to be of type (Int, Int, Double) because of the overloading with the Iterable type.

    numRows

    Number of rows

    numCols

    Number of columns

    entry

    Data entries in the matrix

    returns

    Newly constructed sparse matrix

  10. def fromCOO(numRows: Int, numCols: Int, entries: Iterable[(Int, Int, Double)]): SparseMatrix

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    Constructs a sparse matrix from a coordinate list (COO) representation where each entry is stored as a tuple of (rowIndex, columnIndex, value).

    Constructs a sparse matrix from a coordinate list (COO) representation where each entry is stored as a tuple of (rowIndex, columnIndex, value).

    numRows

    Number of rows

    numCols

    Number of columns

    entries

    Data entries in the matrix

    returns

    Newly constructed sparse matrix

  11. def fromCOO(numRows: Int, numCols: Int, entries: (Int, Int, Double)*): SparseMatrix

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    Constructs a sparse matrix from a coordinate list (COO) representation where each entry is stored as a tuple of (rowIndex, columnIndex, value).

    Constructs a sparse matrix from a coordinate list (COO) representation where each entry is stored as a tuple of (rowIndex, columnIndex, value).

    numRows

    Number of rows

    numCols

    Number of columns

    entries

    Data entries in the matrix

    returns

    Newly constructed sparse matrix

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

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