List of toDoubleMatrix2D() Examples

   */
  protected void checkBuildMatrix(LearnerGraph gr, DoubleMatrix2D expectedAx, DoubleMatrix1D expectedB)
  {
    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(threadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.

Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix2D()

    StatesToConsider filter = TestLearnerGraphND.createInstanceOfFilter(filterClass, gr);
    double score_CC=1./2,score_BB=(2+score_CC*k)/4, score_AA=(1+k*score_BB)/2;
    {
      GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreNone, false);
      LSolver solver = ndGraph.buildMatrix(threadNumber);
      DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
      Assert.assertEquals(6,Ax.columns());
    }
    Set<PairScore> pairsSet = addAllPermutations(gr.pairscores.chooseStatePairs(PAIR_INCOMPATIBLE*2,10,threadNumber,null,filter, new NonRandomRandom()));
    Set<PairScore> exp = addAllPermutations(Arrays.asList(new PairScore[]{
        new PairScore(gr.findVertex("A"),gr.findVertex("A"),(int)(10*score_AA),1),

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Examples of toDoubleMatrix2D()

Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix2D()

Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix2D()