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

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

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    double correlation = new EuclideanDistanceSimilarity(dataModel, Weighting.WEIGHTED).userSimilarity(1, 2);
    assertCorrelationEquals(0.8081551272944483, 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 EuclideanDistanceSimilarity(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 EuclideanDistanceSimilarity(dataModel).userSimilarity(1, 2);
    assertCorrelationEquals(0.3606507916004517, 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 EuclideanDistanceSimilarity(dataModel).userSimilarity(1, 2);
    assertCorrelationEquals(0.5896248568217328, 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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    double correlation = new EuclideanDistanceSimilarity(dataModel, Weighting.WEIGHTED).userSimilarity(1, 2);
    assertCorrelationEquals(0.8974062142054332, correlation);
  }

  public void testFullItemCorrelation1() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {3.0, 3.0},
                    {-2.0, -2.0},
            });
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        new EuclideanDistanceSimilarity(dataModel).itemSimilarity(0, 1);
    assertCorrelationEquals(1.0, correlation);
  }

  public void testFullItemCorrelation2() 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 testNoItemCorrelation1() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {3.0, -3.0},
                    {-2.0, 2.0},
            });
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        new EuclideanDistanceSimilarity(dataModel).itemSimilarity(0, 1);
    assertCorrelationEquals(0.424465381883345, correlation);
  }

  public void testNoItemCorrelation2() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2},
            new Double[][] {
                    {null, 1.0, null},
                    {null, null, 1.0},
            });
View Full Code Here
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        new EuclideanDistanceSimilarity(dataModel).itemSimilarity(1, 2);
    assertTrue(Double.isNaN(correlation));
  }

  public void testNoItemCorrelation3() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2, 3},
            new Double[][] {
                    {90.0, 70.0},
                    {80.0, 80.0},
                    {70.0, 90.0},
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        new EuclideanDistanceSimilarity(dataModel).itemSimilarity(0, 1);
    assertCorrelationEquals(0.3606507916004517, correlation);
  }

  public void testSimpleItem() throws Exception {
    DataModel dataModel = getDataModel(
            new long[] {1, 2, 3},
            new Double[][] {
                    {1.0, 2.0},
                    {2.0, 5.0},
                    {3.0, 6.0},
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