Package org.apache.mahout.math.matrix.impl

Examples of org.apache.mahout.math.matrix.impl.DenseDoubleMatrix1D

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   */
  public DoubleMatrix1D make(double[] values) {
    if (this == sparse) {
      return new SparseDoubleMatrix1D(values);
    } else {
      return new DenseDoubleMatrix1D(values);
    }
  }
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  /** Constructs a matrix with the given shape, each cell initialized with zero. */
  public DoubleMatrix1D make(int size) {
    if (this == sparse) {
      return new SparseDoubleMatrix1D(size);
    }
    return new DenseDoubleMatrix1D(size);
  }
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    if (transposeA) {
      return viewDice().zMult(y, z, alpha, beta, false);
    }
    //boolean ignore = (z==null);
    if (z == null) {
      z = new DenseDoubleMatrix1D(this.rows);
    }
    if (columns != y.size() || rows > z.size()) {
      throw new IllegalArgumentException(
          "Incompatible args: " + toStringShort() + ", " + y.toStringShort() + ", " + z.toStringShort());
    }
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    if (transposeA) {
      return viewDice().zMult(y, z, alpha, beta, false);
    }
    //boolean ignore = (z==null);
    if (z == null) {
      z = new DenseDoubleMatrix1D(this.rows);
    }
    if (columns != y.size() || rows > z.size()) {
      throw new IllegalArgumentException("Incompatible args");
    }
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   * Returns the imaginary parts of the eigenvalues.
   *
   * @return imag(diag(D))
   */
  public DoubleMatrix1D getImagEigenvalues() {
    return new DenseDoubleMatrix1D(e);
  }
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   * Returns the real parts of the eigenvalues.
   *
   * @return real(diag(D))
   */
  public DoubleMatrix1D getRealEigenvalues() {
    return new DenseDoubleMatrix1D(d);
  }
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   * not reflected in the matrix, and vice-versa.
   *
   * @param values The values to be filled into the new matrix.
   */
  public DoubleMatrix1D make(double[] values) {
    return this == sparse ? new SparseDoubleMatrix1D(values) : new DenseDoubleMatrix1D(values);
  }
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  /** Constructs a matrix with the given shape, each cell initialized with zero. */
  public DoubleMatrix1D make(int size) {
    if (this == sparse) {
      return new SparseDoubleMatrix1D(size);
    }
    return new DenseDoubleMatrix1D(size);
  }
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    if (transposeA) {
      return viewDice().zMult(y, z, alpha, beta, false);
    }
    //boolean ignore = (z==null);
    if (z == null) {
      z = new DenseDoubleMatrix1D(this.rows);
    }
    if (columns != y.size() || rows > z.size()) {
      throw new IllegalArgumentException("Incompatible args");
    }
View Full Code Here
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    if (transposeA) {
      return viewDice().zMult(y, z, alpha, beta, false);
    }
    //boolean ignore = (z==null);
    if (z == null) {
      z = new DenseDoubleMatrix1D(this.rows);
    }
    if (columns != y.size() || rows > z.size()) {
      throw new IllegalArgumentException("Incompatible args");
    }
View Full Code Here
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Related Classes of org.apache.mahout.math.matrix.impl.DenseDoubleMatrix1D

  • org.apache.mahout.math.matrix.DoubleFactory1D
  • org.apache.mahout.math.matrix.DoubleMatrix1D
  • org.apache.mahout.math.matrix.DoubleMatrix2D
  • org.apache.mahout.math.matrix.linalg.EigenvalueDecomposition
  • org.carrot2.clustering.kmeans.BisectingKMeansClusteringAlgorithm
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