Package cc.mallet.types

Examples of cc.mallet.types.Matrixn

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  public void testIndexing1d ()
  {
    double m1[] = new double[]{1.0, 2.0, 3.0, 4.0};
    int idx1[] = new int[1];
    Matrixn a = new Matrixn (m1);
    a.singleToIndices (3, idx1);
    assertEquals (3, idx1[0]);
    assertEquals (3, a.singleIndex (idx1));
  }
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    int[] sizes = new int[]{2, 3};
    double[] m1 = new double[6];
    for (int i = 0; i < 6; i++) {
      m1[i] = 2.0 * i;
    }
    Matrixn a = new Matrixn (sizes, m1);
    int[] idx1 = new int[2];
    a.singleToIndices (5, idx1);
    System.out.println (idx1[0]+" , "+idx1[1]);

    int[] trueIdx = new int[] {1, 2};
    assertTrue (Arrays.equals (trueIdx, idx1));
    assertEquals (5, a.singleIndex (idx1));
    assertEquals (10.0, a.value (idx1), 1e-12);
  }
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    assertEquals (10.0, a.value (idx1), 1e-12);
  }

  public void testIndexing3d ()
  {
    Matrixn a = make3dMatrix ();
    int[] idx1 = new int[3];
    a.singleToIndices (21, idx1);

    int[] trueIdx = new int[]{1, 2, 1};
    assertTrue (Arrays.equals (trueIdx, idx1));
    assertEquals (21, a.singleIndex (idx1));
    assertEquals (42.0, a.value (idx1), 1e-12);
  }
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    int[] sizes = new int[]{2, 3, 4};
    double[] m1 = new double[24];
    for (int i = 0; i < 24; i++) {
      m1[i] = 2.0 * i;
    }
    Matrixn a = new Matrixn (sizes, m1);
    return a;
  }
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    return a;
  }

  public void testMatrixnSerializable () throws IOException, ClassNotFoundException
  {
    Matrixn a = make3dMatrix ();
    Matrixn b = (Matrixn) TestSerializable.cloneViaSerialization (a);

    assertEquals (a.singleSize(), b.singleSize());
    for (int i = 0; i < a.singleSize (); i++) {
      int[] idxa = new int [a.getNumDimensions ()];
      int[] idxb = new int [a.getNumDimensions ()];

      a.singleToIndices (i, idxa);
      b.singleToIndices (i, idxb);

      assertTrue (Arrays.equals (idxa, idxb));
      assertEquals (a.value (idxa), b.value (idxb), 1e-12);
    }
  }
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                                                 Variable v1, Variable v2)
  {
    int max1 = v1.getNumOutcomes();
    int max2 = v2.getNumOutcomes();

    Matrix phi = new Matrixn(new int[]{max1, max2});
    for (int i = 0; i < v1.getNumOutcomes(); i++) {
      for (int j = 0; j < v2.getNumOutcomes(); j++) {
        phi.setValue(new int[]{i, j}, r.nextDouble ()); // rescale(r.nextDouble()));
      }
    }
    return new TableFactor
            (new Variable[]{v1, v2}, phi);
  }
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  private static TableFactor randomNodePotential(Random r, Variable v)
  {
    int max = v.getNumOutcomes();

    Matrix phi = new Matrixn(new int[]{max});
    for (int i = 0; i < v.getNumOutcomes(); i++) {
      phi.setSingleValue(i, rescale(r.nextDouble()));
    }
    return new TableFactor
            (new Variable[]{v}, phi);
  }
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Related Classes of cc.mallet.types.Matrixn

  • cc.mallet.grmm.test.TestInference
  • cc.mallet.types.tests.TestMatrixn
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