List of viewRow() Examples

Examples of viewRow()

cern.colt.matrix.DoubleMatrix2D.viewRow()
Constructs and returns a new slice view representing the columns of the given row. 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 viewRow(0) ==> Matrix1D of size 3:
1, 2, 3

@param row the row to fix. @return a new slice view. @throws IndexOutOfBoundsException if row < 0 || row>= rows(). @see #viewColumn(int)
cern.colt.matrix.ObjectMatrix2D.viewRow()
Constructs and returns a new slice view representing the columns of the given row. 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 viewRow(0) ==> Matrix1D of size 3:
1, 2, 3

@param row the row to fix. @return a new slice view. @throws IndexOutOfBoundsException if row < 0 || row>= rows(). @see #viewColumn(int)
org.apache.mahout.math.DenseMatrix.viewRow()
org.apache.mahout.math.Matrix.viewRow()
org.apache.mahout.math.SparseRowMatrix.viewRow()
@param row an int row index @return a shallow view of the Vector at specified row (ie you may mutate the original matrix using this row)
org.apache.mahout.math.matrix.DoubleMatrix2D.viewRow()
Constructs and returns a new slice view representing the columns of the given row. 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 viewRow(0) ==> Matrix1D of size 3:
1, 2, 3

@param row the row to fix. @return a new slice view. @throws IndexOutOfBoundsException if row < 0 || row>= rows(). @see #viewColumn(int)
stallone.api.doubles.IDoubleArray.viewRow()
Gets an IDoubleArray object which is a view on row i @param i @return

Examples of cern.colt.matrix.DoubleMatrix2D.viewRow()

  DoubleMatrix2D X = B.copy();
  int nx = B.columns();
  
  // precompute and cache some views to avoid regenerating them time and again
  DoubleMatrix1D[] Xrows = new DoubleMatrix1D[n];
  for (int k = 0; k < n; k++) Xrows[k] = X.viewRow(k);
  
  // Solve L*Y = B;
  for (int k = 0; k < n; k++) {
    for (int i = k+1; i < n; i++) {
      // X[i,j] -= X[k,j]*L[i,k]

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Examples of cern.colt.matrix.DoubleMatrix2D.viewRow()


  for (int r = rowIndexes.length; --r >= 0; ) {
    int row = rowIndexes[r];
    if (row < 0 || row >= rows)
      throw new IndexOutOfBoundsException("Illegal Index");
    sub.viewRow(r).assign(A.viewRow(row));
  }
  return sub;
}
/**
 * Copies the rows of the indicated columns into a new sub matrix.

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Examples of cern.colt.matrix.ObjectMatrix2D.viewRow()

 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.
 */
public String toString(ObjectMatrix1D matrix) {
  ObjectMatrix2D easy = matrix.like2D(1,matrix.size());
  easy.viewRow(0).assign(matrix);
  return toString(easy);
}
/**
 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.

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Examples of cern.colt.matrix.ObjectMatrix2D.viewRow()

 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.
 */
public String toString(ObjectMatrix1D matrix) {
  ObjectMatrix2D easy = matrix.like2D(1,matrix.size());
  easy.viewRow(0).assign(matrix);
  return toString(easy);
}
/**
 * Returns a string representation of the given matrix.
 * @param matrix the matrix to convert.

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

      }
    };


    SSVDPrototype mapperSimulation = new SSVDPrototype(rndSeed, kp, r);
    for (int i = 0; i < m; i++) {
      mapperSimulation.firstPass(mx.viewRow(i));
    }


    mapperSimulation.finishFirstPass();


    for (int i = 0; i < m; i++) {

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

    }


    mapperSimulation.finishFirstPass();


    for (int i = 0; i < m; i++) {
      mapperSimulation.secondPass(mx.viewRow(i), btEmitter);
    }


    // LocalSSVDTest.assertOrthonormality(mapperSimulation.m_qt.transpose(),
    // false,1e-10);

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

    Matrix topicTermCounts = new DenseMatrix(numTopics, numTerms);
    Vector topicSums = new DenseVector(numTopics);
    if(random != null) {
      for(int x = 0; x < numTopics; x++) {
        for(int term = 0; term < numTerms; term++) {
          topicTermCounts.viewRow(x).set(term, random.nextDouble());
        }
      }
    }
    for(int x = 0; x < numTopics; x++) {
      topicSums.set(x, random == null ? 1.0 : topicTermCounts.viewRow(x).norm(1));

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

          topicTermCounts.viewRow(x).set(term, random.nextDouble());
        }
      }
    }
    for(int x = 0; x < numTopics; x++) {
      topicSums.set(x, random == null ? 1.0 : topicTermCounts.viewRow(x).norm(1));
    }
    return Pair.of(topicTermCounts, topicSums);
  }


  public static Pair<Matrix, Vector> loadModel(Configuration conf, Path... modelPaths)

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

    }
    numTopics++;
    Matrix model = new DenseMatrix(numTopics, numTerms);
    Vector topicSums = new DenseVector(numTopics);
    for(Pair<Integer, Vector> pair : rows) {
      model.viewRow(pair.getFirst()).assign(pair.getSecond());
      topicSums.set(pair.getFirst(), pair.getSecond().norm(1));
    }
    return Pair.of(model, topicSums);
  }

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Examples of org.apache.mahout.math.DenseMatrix.viewRow()

      Vector oldEigen = eigenVectors.viewRow(row);
      if(oldEigen == null) {
        break;
      }
      for(int newRow = 0; newRow < eigenVectors2.numRows(); newRow++) {
        Vector newEigen = eigenVectors2.viewRow(newRow);
        if(newEigen != null) {
          if(oldEigen.dot(newEigen) > 0.9) {
            oldEigensFound.add(row);
            break;
          }

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