Package org.apache.spark.mllib.linalg

Interface Matrix

All Superinterfaces:
Serializable, scala.Serializable
All Known Implementing Classes:
DenseMatrix, SparseMatrix
public interface Matrix extends scala.Serializable
Trait for a local matrix.

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    apply(int i, int j)
    Gets the (i, j)-th element.
    breeze.linalg.Matrix<Object>
    asBreeze()
    Converts to a breeze matrix.
    Matrix
    asML()
    Convert this matrix to the new mllib-local representation.
    scala.collection.Iterator<Vector>
    colIter()
    Returns an iterator of column vectors.
    Matrix
    copy()
    Get a deep copy of the matrix.
    void
    foreachActive(scala.Function3<Object,Object,Object,scala.runtime.BoxedUnit> f)
    Applies a function f to all the active elements of dense and sparse matrix.
    int
    index(int i, int j)
    Return the index for the (i, j)-th element in the backing array.
    boolean
    isTransposed()
    Flag that keeps track whether the matrix is transposed or not.
    Matrix
    map(scala.Function1<Object,Object> f)
    Map the values of this matrix using a function.
    DenseMatrix
    multiply(DenseMatrix y)
    Convenience method for Matrix-DenseMatrix multiplication.
    DenseVector
    multiply(DenseVector y)
    Convenience method for Matrix-DenseVector multiplication.
    DenseVector
    multiply(Vector y)
    Convenience method for Matrix-Vector multiplication.
    int
    numActives()
    Find the number of values stored explicitly.
    int
    numCols()
    Number of columns.
    int
    numNonzeros()
    Find the number of non-zero active values.
    int
    numRows()
    Number of rows.
    scala.collection.Iterator<Vector>
    rowIter()
    Returns an iterator of row vectors.
    double[]
    toArray()
    Converts to a dense array in column major.
    String
    toString()
    A human readable representation of the matrix
    String
    toString(int maxLines, int maxLineWidth)
    A human readable representation of the matrix with maximum lines and width
    Matrix
    transpose()
    Transpose the Matrix.
    void
    update(int i, int j, double v)
    Update element at (i, j)
    Matrix
    update(scala.Function1<Object,Object> f)
    Update all the values of this matrix using the function f.

  • Method Details

    • apply

      double apply(int i, int j)
      Gets the (i, j)-th element.

    • asBreeze

      breeze.linalg.Matrix<Object> asBreeze()
      Converts to a breeze matrix.

    • asML

      Matrix asML()
      Convert this matrix to the new mllib-local representation. This does NOT copy the data; it copies references.
      Returns:
      (undocumented)

    • colIter

      scala.collection.Iterator<Vector> colIter()
      Returns an iterator of column vectors. This operation could be expensive, depending on the underlying storage.
      Returns:
      (undocumented)

    • copy

      Matrix copy()
      Get a deep copy of the matrix.

    • foreachActive

      void foreachActive(scala.Function3<Object,Object,Object,scala.runtime.BoxedUnit> f)
      Applies a function f to all the active elements of dense and sparse matrix. The ordering of the elements are not defined.

      Parameters:
      f - the function takes three parameters where the first two parameters are the row and column indices respectively with the type Int, and the final parameter is the corresponding value in the matrix with type Double.

    • index

      int index(int i, int j)
      Return the index for the (i, j)-th element in the backing array.

    • isTransposed

      boolean isTransposed()
      Flag that keeps track whether the matrix is transposed or not. False by default.

    • map

      Matrix map(scala.Function1<Object,Object> f)
      Map the values of this matrix using a function. Generates a new matrix. Performs the function on only the backing array. For example, an operation such as addition or subtraction will only be performed on the non-zero values in a SparseMatrix.
      Parameters:
      f - (undocumented)
      Returns:
      (undocumented)

    • multiply

      DenseMatrix multiply(DenseMatrix y)
      Convenience method for Matrix-DenseMatrix multiplication.
      Parameters:
      y - (undocumented)
      Returns:
      (undocumented)

    • multiply

      DenseVector multiply(DenseVector y)
      Convenience method for Matrix-DenseVector multiplication. For binary compatibility.
      Parameters:
      y - (undocumented)
      Returns:
      (undocumented)

    • multiply

      DenseVector multiply(Vector y)
      Convenience method for Matrix-Vector multiplication.
      Parameters:
      y - (undocumented)
      Returns:
      (undocumented)

    • numActives

      int numActives()
      Find the number of values stored explicitly. These values can be zero as well.
      Returns:
      (undocumented)

    • numCols

      int numCols()
      Number of columns.

    • numNonzeros

      int numNonzeros()
      Find the number of non-zero active values.
      Returns:
      (undocumented)

    • numRows

      int numRows()
      Number of rows.

    • rowIter

      scala.collection.Iterator<Vector> rowIter()
      Returns an iterator of row vectors. This operation could be expensive, depending on the underlying storage.
      Returns:
      (undocumented)

    • toArray

      double[] toArray()
      Converts to a dense array in column major.

    • toString

      String toString()
      A human readable representation of the matrix
      Overrides:
      toString in class Object

    • toString

      String toString(int maxLines, int maxLineWidth)
      A human readable representation of the matrix with maximum lines and width

    • transpose

      Matrix transpose()
      Transpose the Matrix. Returns a new Matrix instance sharing the same underlying data.
      Returns:
      (undocumented)

    • update

      void update(int i, int j, double v)
      Update element at (i, j)

    • update

      Matrix update(scala.Function1<Object,Object> f)
      Update all the values of this matrix using the function f. Performed in-place on the backing array. For example, an operation such as addition or subtraction will only be performed on the non-zero values in a SparseMatrix.
      Parameters:
      f - (undocumented)
      Returns:
      (undocumented)