Package org.apache.mahout.cf.taste.eval

Examples of org.apache.mahout.cf.taste.eval.RecommenderBuilder

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public final class GenericRecommenderIRStatsEvaluatorImplTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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public final class RMSRecommenderEvaluatorTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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public final class AverageAbsoluteDifferenceRecommenderEvaluatorTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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public final class GenericRecommenderIRStatsEvaluatorImplTest extends TasteTestCase {

  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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public final class RMSRecommenderEvaluatorTest extends TasteTestCase {

  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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public final class AverageAbsoluteDifferenceRecommenderEvaluatorTest extends TasteTestCase {

  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
View Full Code Here
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public final class RMSRecommenderEvaluatorTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
View Full Code Here
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public final class AverageAbsoluteDifferenceRecommenderEvaluatorTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
View Full Code Here
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public final class GenericRecommenderIRStatsEvaluatorImplTest extends TasteTestCase {

  @Test
  public void testEvaluate() throws Exception {
    DataModel model = getDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) throws TasteException {
        return new SlopeOneRecommender(dataModel);
      }
    };
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  }

  @Test
  public void testBoolean() throws Exception {
    DataModel model = getBooleanDataModel();
    RecommenderBuilder builder = new RecommenderBuilder() {
      @Override
      public Recommender buildRecommender(DataModel dataModel) {
        return new GenericBooleanPrefItemBasedRecommender(dataModel, new LogLikelihoodSimilarity(dataModel));
      }
    };
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  • mia.recommender.ch02.UserBaseRecommenderEvaluation
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  • mia.recommender.ch03.IREvaluatorBooleanPrefIntro2
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  • mia.recommender.ch05.LibimsetiIREvalRunner
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