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

      IntWritable key = new IntWritable();
      VectorWritable value = new VectorWritable();
      
      for (int row = 0; row < sData.numRows(); row++) {
        key.set(row);
        value.set(sData.viewRow(row));
        writer.append(key, value);
      }
    } finally {
      Closeables.closeQuietly(writer);
    }

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

      }
      int c = r.nextInt(numRows);
      if (r.nextBoolean() || numRows == nonNullRows) {
        m.assignRow(numRows == nonNullRows ? i : c, v);
      } else {
        Vector other = m.viewRow(r.nextInt(numRows));
        if (other != null && other.getLengthSquared() > 0) {
          m.assignRow(c, other.clone());
        }
      }
      //n += m.getRow(c).getLengthSquared();

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

   *         last category.
   */
  public Matrix classifyFull(Matrix data) {
    Matrix r = new DenseMatrix(data.numRows(), numCategories());
    for (int row = 0; row < data.numRows(); row++) {
      classifyFull(r.viewRow(row), data.getRow(row));
    }
    return r;
  }


  /**

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

            .learningRate(5);
    int k = 0;
    int[] ordering = permute(gen, data.numRows());
    for (int epoch = 0; epoch < 100; epoch++) {
      for (int row : ordering) {
        lr.train(row, (int) data.get(row, 9), data.viewRow(row));
        System.out.printf("%d,%d,%.3f\n", epoch, k++, lr.auc());
      }
      assertEquals(1, lr.auc(), 0.2);
    }
    assertEquals(1, lr.auc(), 0.1);

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


    /* Y' (Cu -I) Y by outer products */
    for (Element e : userRatings.nonZeroes()) {
      for (Vector.Element feature : Y.get(e.index()).all()) {
        Vector partial = CuMinusIY.get(e.index()).times(feature.get());
        YtransponseCuMinusIY.viewRow(feature.index()).assign(partial, Functions.PLUS);
      }
    }


    /* Y' (Cu - I) Y + λ I  add lambda on the diagonal */
    for (int feature = 0; feature < numFeatures; feature++) {

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Examples of org.apache.mahout.math.Matrix.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.Matrix.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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