Examples of org.apache.mahout.math.matrix.DoubleMatrix2D.viewColumn()

Class org.apache.mahout.math.matrix.DoubleMatrix2D

Examples of org.apache.mahout.math.matrix.DoubleMatrix2D.viewColumn()

org.apache.mahout.math.matrix.DoubleMatrix2D.viewColumn()
Constructs and returns a new slice view representing the rows of the given column. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view (viewPart(...)), then apply this method to the sub-range view.
Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6 viewColumn(0) ==> Matrix1D of size 2:
1, 4

@param column the column to fix. @return a new slice view. @throws IndexOutOfBoundsException if column < 0 || column>= columns(). @see #viewRow(int)

    for (int c = columnIndexes.length; --c >= 0;) {
      int column = columnIndexes[c];
      if (column < 0 || column >= columns) {
        throw new IndexOutOfBoundsException("Illegal Index");
      }
      sub.viewColumn(c).assign(A.viewColumn(column));
    }
    return sub;
  }


  /**

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    for (int k = n - 1; k >= 0; k--) {
      DoubleMatrix1D QRcolk = QR.viewColumn(k).viewPart(k, m - k);
      Q.setQuick(k, k, 1);
      for (int j = k; j < n; j++) {
        if (QR.getQuick(k, k) != 0) {
          DoubleMatrix1D Qcolj = Q.viewColumn(j).viewPart(k, m - k);
          double s = QRcolk.zDotProduct(Qcolj);
          s = -s / QR.getQuick(k, k);
          Qcolj.assign(QRcolk, Functions.plusMult(s));
        }
      }

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    startTime(TimingSection.FINAL_EIGEN_CREATE);


    for (int i = 0; i < basis.numRows() - 1; i++) {
      Vector realEigen = new DenseVector(corpus.numCols());
      // the eigenvectors live as columns of V, in reverse order.  Weird but true.
      DoubleMatrix1D ejCol = eigenVects.viewColumn(basis.numRows() - i - 1);
      for (int j = 0; j < ejCol.size(); j++) {
        double d = ejCol.getQuick(j);
        realEigen.assign(basis.getRow(j), new PlusMult(d));
      }
      realEigen = realEigen.normalize();

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    endTime(TimingSection.TRIDIAG_DECOMP);
    startTime(TimingSection.FINAL_EIGEN_CREATE);
    for (int row = 0; row < i; row++) {
      Vector realEigen = null;
      // the eigenvectors live as columns of V, in reverse order.  Weird but true.
      DoubleMatrix1D ejCol = eigenVects.viewColumn(i - row - 1);
      int size = Math.min(ejCol.size(), state.getBasisSize());
      for (int j = 0; j < size; j++) {
        double d = ejCol.get(j);
        Vector rowJ = state.getBasisVector(j);
        if(realEigen == null) {

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    for (int k = n - 1; k >= 0; k--) {
      DoubleMatrix1D QRcolk = QR.viewColumn(k).viewPart(k, m - k);
      Q.setQuick(k, k, 1);
      for (int j = k; j < n; j++) {
        if (QR.getQuick(k, k) != 0) {
          DoubleMatrix1D Qcolj = Q.viewColumn(j).viewPart(k, m - k);
          double s = QRcolk.zDotProduct(Qcolj);
          s = -s / QR.getQuick(k, k);
          Qcolj.assign(QRcolk, Functions.plusMult(s));
        }
      }

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    startTime(TimingSection.FINAL_EIGEN_CREATE);


    for (int i = 0; i < basis.numRows() - 1; i++) {
      Vector realEigen = new DenseVector(corpus.numCols());
      // the eigenvectors live as columns of V, in reverse order.  Weird but true.
      DoubleMatrix1D ejCol = eigenVects.viewColumn(basis.numRows() - i - 1);
      for (int j = 0; j < ejCol.size(); j++) {
        double d = ejCol.getQuick(j);
        realEigen.assign(basis.getRow(j), new PlusMult(d));
      }
      realEigen = realEigen.normalize();

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    endTime(TimingSection.TRIDIAG_DECOMP);
    startTime(TimingSection.FINAL_EIGEN_CREATE);
    for (int row = 0; row < i; row++) {
      Vector realEigen = null;
      // the eigenvectors live as columns of V, in reverse order.  Weird but true.
      DoubleMatrix1D ejCol = eigenVects.viewColumn(i - row - 1);
      int size = ejCol.size();
      for (int j = 0; j < size; j++) {
        double d = ejCol.get(j);
        Vector rowJ = state.getBasisVector(j);
        if(realEigen == null) {

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