List of viewPart() Examples

Examples of viewPart()

cern.colt.matrix.DoubleMatrix1D.viewPart()
Constructs and returns a new sub-range view that is a width sub matrix starting at index. Operations on the returned view can only be applied to the restricted range. Any attempt to access coordinates not contained in the view will throw an IndexOutOfBoundsException.
Note that the view is really just a range restriction: The returned matrix is backed by this matrix, so changes in the returned matrix are reflected in this matrix, and vice-versa.
The view contains the cells from index..index+width-1. and has view.size() == width. A view's legal coordinates are again zero based, as usual. In other words, legal coordinates of the view are 0 .. view.size()-1==width-1. As usual, any attempt to access a cell at other coordinates will throw an IndexOutOfBoundsException. @param index The index of the first cell. @param width The width of the range. @throws IndexOutOfBoundsException if index<0 || width<0 || index+width>size(). @return the new view.
cern.colt.matrix.DoubleMatrix2D.viewPart()
Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column]. Operations on the returned view can only be applied to the restricted range. Any attempt to access coordinates not contained in the view will throw an IndexOutOfBoundsException.
Note that the view is really just a range restriction: The returned matrix is backed by this matrix, so changes in the returned matrix are reflected in this matrix, and vice-versa.
The view contains the cells from [row,column] to [row+height-1,column+width-1], all inclusive. and has view.rows() == height; view.columns() == width;. A view's legal coordinates are again zero based, as usual. In other words, legal coordinates of the view range from [0,0] to [view.rows()-1==height-1,view.columns()-1==width-1]. As usual, any attempt to access a cell at a coordinate column<0 || column>=view.columns() || row<0 || row>=view.rows() will throw an IndexOutOfBoundsException. @param row The index of the row-coordinate. @param column The index of the column-coordinate. @param height The height of the box. @param width The width of the box. @throws IndexOutOfBoundsException if column<0 || width<0 || column+width>columns() || row<0 || height<0 || row+height>rows() @return the new view.
org.apache.mahout.math.DenseMatrix.viewPart()
org.apache.mahout.math.DenseVector.viewPart()
org.apache.mahout.math.Matrix.viewPart()
Return a new matrix containing the subset of the recipient @param offset an int[2] offset into the receiver @param size the int[2] size of the desired result @return a new Matrix @throws CardinalityException if the length is greater than the cardinality of the receiver @throws IndexException if the offset is negative or the offset+length is outside of the receiver
org.apache.mahout.math.SequentialAccessSparseVector.viewPart()
org.apache.mahout.math.Vector.viewPart()
Return a new matrix containing the subset of the recipient @param offset an int offset into the receiver @param length the cardinality of the desired result @return a new Vector @throws CardinalityException if the length is greater than the cardinality of the receiver @throws IndexException if the offset is negative or the offset+length is outside of the receiver
org.apache.mahout.math.matrix.DoubleMatrix2D.viewPart()
Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column]. Operations on the returned view can only be applied to the restricted range. Any attempt to access coordinates not contained in the view will throw an IndexOutOfBoundsException.
Note that the view is really just a range restriction: The returned matrix is backed by this matrix, so changes in the returned matrix are reflected in this matrix, and vice-versa.
The view contains the cells from [row,column] to [row+height-1,column+width-1], all inclusive. and has view.rows() == height; view.columns() == width;. A view's legal coordinates are again zero based, as usual. In other words, legal coordinates of the view range from [0,0] to [view.rows()-1==height-1,view.columns()-1==width-1]. As usual, any attempt to access a cell at a coordinate column<0 || column>=view.columns() || row<0 || row>=view.rows() will throw an IndexOutOfBoundsException. @param row The index of the row-coordinate. @param column The index of the column-coordinate. @param height The height of the box. @param width The width of the box. @return the new view. @throws IndexOutOfBoundsException if column<0 || width<0 || column+width>columns() || row<0 || height<0 ||row+height>rows()

Examples of org.apache.mahout.math.DenseVector.viewPart()


      if (scale != 0.0) {
        // Compute Householder transformation.


        ort.viewPart(m, high - m + 1).assign(hColumn, Functions.plusMult(1 / scale));
        double h = ort.viewPart(m, high - m + 1).getLengthSquared();


        double g = Math.sqrt(h);
        if (ort.getQuick(m) > 0) {
          g = -g;
        }

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Examples of org.apache.mahout.math.DenseVector.viewPart()

        ort.setQuick(m, ort.getQuick(m) - g);


        // Apply Householder similarity transformation
        // H = (I-u*u'/h)*H*(I-u*u')/h)


        Vector ortPiece = ort.viewPart(m, high - m + 1);
        for (int j = m; j < n; j++) {
          double f = ortPiece.dot(hessenBerg.viewColumn(j).viewPart(m, high - m + 1)) / h;
          hessenBerg.viewColumn(j).viewPart(m, high - m + 1).assign(ortPiece, Functions.plusMult(-f));
        }

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Examples of org.apache.mahout.math.DenseVector.viewPart()

    v.assign(0);
    v.viewDiagonal().assign(1);


    for (int m = high - 1; m >= low + 1; m--) {
      if (hessenBerg.getQuick(m, m - 1) != 0.0) {
        ort.viewPart(m + 1, high - m).assign(hessenBerg.viewColumn(m - 1).viewPart(m + 1, high - m));
        for (int j = m; j <= high; j++) {
          double g = ort.viewPart(m, high - m + 1).dot(v.viewColumn(j).viewPart(m, high - m + 1));
          // Double division avoids possible underflow
          g = g / ort.getQuick(m) / hessenBerg.getQuick(m, m - 1);
          v.viewColumn(j).viewPart(m, high - m + 1).assign(ort.viewPart(m, high - m + 1), Functions.plusMult(g));

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Examples of org.apache.mahout.math.DenseVector.viewPart()


    for (int m = high - 1; m >= low + 1; m--) {
      if (hessenBerg.getQuick(m, m - 1) != 0.0) {
        ort.viewPart(m + 1, high - m).assign(hessenBerg.viewColumn(m - 1).viewPart(m + 1, high - m));
        for (int j = m; j <= high; j++) {
          double g = ort.viewPart(m, high - m + 1).dot(v.viewColumn(j).viewPart(m, high - m + 1));
          // Double division avoids possible underflow
          g = g / ort.getQuick(m) / hessenBerg.getQuick(m, m - 1);
          v.viewColumn(j).viewPart(m, high - m + 1).assign(ort.viewPart(m, high - m + 1), Functions.plusMult(g));
        }
      }

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Examples of org.apache.mahout.math.DenseVector.viewPart()

        ort.viewPart(m + 1, high - m).assign(hessenBerg.viewColumn(m - 1).viewPart(m + 1, high - m));
        for (int j = m; j <= high; j++) {
          double g = ort.viewPart(m, high - m + 1).dot(v.viewColumn(j).viewPart(m, high - m + 1));
          // Double division avoids possible underflow
          g = g / ort.getQuick(m) / hessenBerg.getQuick(m, m - 1);
          v.viewColumn(j).viewPart(m, high - m + 1).assign(ort.viewPart(m, high - m + 1), Functions.plusMult(g));
        }
      }
    }
    return hessenBerg;
  }

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Examples of org.apache.mahout.math.DenseVector.viewPart()

    input = readCsv("sgd.csv");


    // regenerate the target variable
    Vector target = new DenseVector(60);
    target.assign(0);
    target.viewPart(30, 30).assign(1);
    return target;
  }


  static void train(Matrix input, Vector target, OnlineLearner lr) {
    RandomUtils.useTestSeed();

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Examples of org.apache.mahout.math.DenseVector.viewPart()

    input = readCsv("sgd.csv");


    // regenerate the target variable
    Vector target = new DenseVector(60);
    target.assign(0);
    target.viewPart(30, 30).assign(1);
    return target;
  }


  private static void train(Matrix input, Vector target, OnlineLearner lr) {
    RandomUtils.useTestSeed();

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Examples of org.apache.mahout.math.DenseVector.viewPart()

      double scale = hColumn.norm(1);


      if (scale != 0.0) {
        // Compute Householder transformation.


        ort.viewPart(m, high - m + 1).assign(hColumn, Functions.plusMult(1 / scale));
        double h = ort.viewPart(m, high - m + 1).getLengthSquared();


        double g = Math.sqrt(h);
        if (ort.getQuick(m) > 0) {
          g = -g;

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Examples of org.apache.mahout.math.DenseVector.viewPart()


      if (scale != 0.0) {
        // Compute Householder transformation.


        ort.viewPart(m, high - m + 1).assign(hColumn, Functions.plusMult(1 / scale));
        double h = ort.viewPart(m, high - m + 1).getLengthSquared();


        double g = Math.sqrt(h);
        if (ort.getQuick(m) > 0) {
          g = -g;
        }

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Examples of org.apache.mahout.math.DenseVector.viewPart()

        ort.setQuick(m, ort.getQuick(m) - g);


        // Apply Householder similarity transformation
        // H = (I-u*u'/h)*H*(I-u*u')/h)


        Vector ortPiece = ort.viewPart(m, high - m + 1);
        for (int j = m; j < n; j++) {
          double f = ortPiece.dot(hessenBerg.viewColumn(j).viewPart(m, high - m + 1)) / h;
          hessenBerg.viewColumn(j).viewPart(m, high - m + 1).assign(ortPiece, Functions.plusMult(-f));
        }

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