Package org.apache.mahout.cf.taste.model

Examples of org.apache.mahout.cf.taste.model.DataModel

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    PreferenceTransform zScore = new ZScore(dataModel);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 0, 1.0f)), EPSILON);
  }

  public void testAllSame() throws Exception {
    DataModel dataModel = getDataModel(new long[] {1}, new Double[][] {{1.0,1.0,1.0}});
    PreferenceTransform zScore = new ZScore(dataModel);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 0, 1.0f)), EPSILON);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 1, 1.0f)), EPSILON);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 2, 1.0f)), EPSILON);
  }
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    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 1, 1.0f)), EPSILON);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 2, 1.0f)), EPSILON);
  }

  public void testStdev() throws Exception {
    DataModel dataModel = getDataModel(new long[] {1}, new Double[][] {{-1.0,-2.0}});
    PreferenceTransform zScore = new ZScore(dataModel);
    assertEquals(0.707107, zScore.getTransformedValue(new GenericPreference(1, 0, -1.0f)), EPSILON);
    assertEquals(-0.707107, zScore.getTransformedValue(new GenericPreference(1, 1, -2.0f)), EPSILON);
  }
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    assertEquals(0.707107, zScore.getTransformedValue(new GenericPreference(1, 0, -1.0f)), EPSILON);
    assertEquals(-0.707107, zScore.getTransformedValue(new GenericPreference(1, 1, -2.0f)), EPSILON);
  }

  public void testExample() throws Exception {
    DataModel dataModel = getDataModel(new long[] {1}, new Double[][] {{5.0, 7.0, 9.0}});
    PreferenceTransform zScore = new ZScore(dataModel);
    assertEquals(-1.0, zScore.getTransformedValue(new GenericPreference(1, 0, 5.0f)), EPSILON);
    assertEquals(0.0, zScore.getTransformedValue(new GenericPreference(1, 1, 7.0f)), EPSILON);
    assertEquals(1.0, zScore.getTransformedValue(new GenericPreference(1, 2, 9.0f)), EPSILON);
  }
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    double correlation = new PearsonCorrelationSimilarity(dataModel, Weighting.WEIGHTED).userSimilarity(1, 2);
    assertCorrelationEquals(1.0, correlation);
  }

  public void testFullCorrelation2() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {3.0, 3.0},
                    {3.0, 3.0},
            });
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    // Yeah, undefined in this case
    assertTrue(Double.isNaN(correlation));
  }

  public void testNoCorrelation1() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {3.0, -2.0},
                    {-3.0, 2.0},
            });
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    double correlation = new PearsonCorrelationSimilarity(dataModel).userSimilarity(1, 2);
    assertCorrelationEquals(-1.0, correlation);
  }

  public void testNoCorrelation1Weighted() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {3.0, -2.0},
                    {-3.0, 2.0},
            });
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    double correlation = new PearsonCorrelationSimilarity(dataModel, Weighting.WEIGHTED).userSimilarity(1, 2);
    assertCorrelationEquals(-1.0, correlation);
  }

  public void testNoCorrelation2() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {null, 1.0, null},
                    {null, null, 1.0},
            });
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    double correlation = new PearsonCorrelationSimilarity(dataModel).userSimilarity(1, 2);
    assertTrue(Double.isNaN(correlation));
  }

  public void testNoCorrelation3() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {90.0, 80.0, 70.0},
                    {70.0, 80.0, 90.0},
            });
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    double correlation = new PearsonCorrelationSimilarity(dataModel).userSimilarity(1, 2);
    assertCorrelationEquals(-1.0, correlation);
  }

  public void testSimple() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {1.0, 2.0, 3.0},
                    {2.0, 5.0, 6.0},
            });
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    double correlation = new PearsonCorrelationSimilarity(dataModel).userSimilarity(1, 2);
    assertCorrelationEquals(0.9607689228305227, correlation);
  }

  public void testSimpleWeighted() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {1.0, 2.0, 3.0},
                    {2.0, 5.0, 6.0},
            });
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