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

org.apache.mahout.math.Matrix.assign()
Assign the value to all elements of the receiver @param value a double value @return the modified receiver

     * as this significantly slows the learning.
     */
        NormalDistribution u = new NormalDistribution( this.randNumGenerator, 0, .01, fanIn() );


        Matrix weights = new DenseMatrix( this.numberVisibleNeurons, this.numberHiddenNeurons ); //Matrix.zeros(nVisible,nHidden);
        weights.assign(0.0);


        for (int i = 0; i < this.connectionWeights.numRows(); i++) {


            // TODO: figure out whats going on with the weights matrix
            //  weights.putRow(i,new Matrix(u.sample(this.W.columns)));

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   * @return a new matrix with the target vector row added to each row
   */
  public static Matrix addRowVector(Matrix m, Vector row) {


    Matrix ret = m.like();
    ret.assign(m);


    for (int r = 0; r < m.numRows(); r++) {


      ret.viewRow(r).assign(row, Functions.PLUS);

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  public void testEnsureValidOutcomeMatrix() {
    
    boolean caughtBad = false;
    
    Matrix bad = new DenseMatrix(2, 3);
    bad.assign(0.0);
    
    try {
      MatrixUtils.ensureValidOutcomeMatrix(bad);
    } catch (Exception e) {
      caughtBad = true;

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    }
    
    assertEquals( true, caughtBad );
    
    Matrix good = new DenseMatrix(2, 3);
    good.assign(0.0);
    good.set(0, 1, 2.0);
    
    boolean caughtGood = false;
    
    try {

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