Package org.apache.mahout.math

Examples of org.apache.mahout.math.VarLongWritable

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    RandomAccessSparseVector vector = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    vector.set(34, 0.5);
    vector.set(56, 0.7);

    mapper.map(new VarLongWritable(123L), new VectorWritable(vector), context);

    EasyMock.verify(context);
  }
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  public void testItemFilterMapper() throws Exception {

    Mapper<LongWritable,Text,VarLongWritable,VarLongWritable>.Context context =
      EasyMock.createMock(Mapper.Context.class);

    context.write(new VarLongWritable(34L), new VarLongWritable(12L));
    context.write(new VarLongWritable(78L), new VarLongWritable(56L));

    EasyMock.replay(context);

    ItemFilterMapper mapper = new ItemFilterMapper();
    mapper.map(null, new Text("12,34"), context);
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    int itemIDIndex = TasteHadoopUtils.idToIndex(123L);
    context.write(EasyMock.eq(new VarIntWritable(itemIDIndex)), vectorAndPrefsForFilteringMatches(123L, 456L, 789L));

    EasyMock.replay(context);

    new ItemFilterAsVectorAndPrefsReducer().reduce(new VarLongWritable(123L), Arrays.asList(new VarLongWritable(456L),
        new VarLongWritable(789L)), context);

    EasyMock.verify(context);
  }
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    PrefAndSimilarityColumnWritable one = new PrefAndSimilarityColumnWritable();
    PrefAndSimilarityColumnWritable two = new PrefAndSimilarityColumnWritable();
    one.set(1.0f, similarityColumn);
    two.set(3.0f, similarityColumn);

    context.write(EasyMock.eq(new VarLongWritable(123L)), EasyMock.eq(one));
    context.write(EasyMock.eq(new VarLongWritable(456L)), EasyMock.eq(two));

    EasyMock.replay(context);

    VectorAndPrefsWritable vectorAndPrefs = new VectorAndPrefsWritable(similarityColumn, Arrays.asList(123L, 456L),
        Arrays.asList(1.0f, 3.0f));
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  @Test
  public void testAggregateAndRecommendReducer() throws Exception {
    Reducer<VarLongWritable,PrefAndSimilarityColumnWritable,VarLongWritable,RecommendedItemsWritable>.Context context =
        EasyMock.createMock(Reducer.Context.class);

    context.write(EasyMock.eq(new VarLongWritable(123L)), recommendationsMatch(new GenericRecommendedItem(1L, 2.8f),
        new GenericRecommendedItem(2L, 2.0f)));

    EasyMock.replay(context);

    RandomAccessSparseVector similarityColumnOne = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnOne.set(1, 0.1);
    similarityColumnOne.set(2, 0.5);

    RandomAccessSparseVector similarityColumnTwo = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnTwo.set(1, 0.9);
    similarityColumnTwo.set(2, 0.5);

    List<PrefAndSimilarityColumnWritable> values = Arrays.asList(
        new PrefAndSimilarityColumnWritable(1.0f, similarityColumnOne),
        new PrefAndSimilarityColumnWritable(3.0f, similarityColumnTwo));

    OpenIntLongHashMap indexItemIDMap = new OpenIntLongHashMap();
    indexItemIDMap.put(1, 1L);
    indexItemIDMap.put(2, 2L);

    AggregateAndRecommendReducer reducer = new AggregateAndRecommendReducer();

    setField(reducer, "indexItemIDMap", indexItemIDMap);
    setField(reducer, "recommendationsPerUser", 3);

    reducer.reduce(new VarLongWritable(123L), values, context);

    EasyMock.verify(context);
  }
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  @Test
  public void testAggregateAndRecommendReducerExcludeRecommendationsBasedOnOneItem() throws Exception {
    Reducer<VarLongWritable,PrefAndSimilarityColumnWritable,VarLongWritable,RecommendedItemsWritable>.Context context =
        EasyMock.createMock(Reducer.Context.class);

    context.write(EasyMock.eq(new VarLongWritable(123L)), recommendationsMatch(new GenericRecommendedItem(1L, 2.8f)));

    EasyMock.replay(context);

    RandomAccessSparseVector similarityColumnOne = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnOne.set(1, 0.1);

    RandomAccessSparseVector similarityColumnTwo = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnTwo.set(1, 0.9);
    similarityColumnTwo.set(2, 0.5);

    List<PrefAndSimilarityColumnWritable> values = Arrays.asList(
        new PrefAndSimilarityColumnWritable(1.0f, similarityColumnOne),
        new PrefAndSimilarityColumnWritable(3.0f, similarityColumnTwo));

    OpenIntLongHashMap indexItemIDMap = new OpenIntLongHashMap();
    indexItemIDMap.put(1, 1L);
    indexItemIDMap.put(2, 2L);

    AggregateAndRecommendReducer reducer = new AggregateAndRecommendReducer();

    setField(reducer, "indexItemIDMap", indexItemIDMap);
    setField(reducer, "recommendationsPerUser", 3);

    reducer.reduce(new VarLongWritable(123L), values, context);

    EasyMock.verify(context);
  }
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  @Test
  public void testAggregateAndRecommendReducerLimitNumberOfRecommendations() throws Exception {
    Reducer<VarLongWritable,PrefAndSimilarityColumnWritable,VarLongWritable,RecommendedItemsWritable>.Context context =
      EasyMock.createMock(Reducer.Context.class);

    context.write(EasyMock.eq(new VarLongWritable(123L)), recommendationsMatch(new GenericRecommendedItem(1L, 2.8f)));

    EasyMock.replay(context);

    RandomAccessSparseVector similarityColumnOne = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnOne.set(1, 0.1);
    similarityColumnOne.set(2, 0.5);

    RandomAccessSparseVector similarityColumnTwo = new RandomAccessSparseVector(Integer.MAX_VALUE, 100);
    similarityColumnTwo.set(1, 0.9);
    similarityColumnTwo.set(2, 0.5);

    List<PrefAndSimilarityColumnWritable> values = Arrays.asList(
        new PrefAndSimilarityColumnWritable(1.0f, similarityColumnOne),
        new PrefAndSimilarityColumnWritable(3.0f, similarityColumnTwo));

    OpenIntLongHashMap indexItemIDMap = new OpenIntLongHashMap();
    indexItemIDMap.put(1, 1L);
    indexItemIDMap.put(2, 2L);

    AggregateAndRecommendReducer reducer = new AggregateAndRecommendReducer();

    setField(reducer, "indexItemIDMap", indexItemIDMap);
    setField(reducer, "recommendationsPerUser", 1);

    reducer.reduce(new VarLongWritable(123L), values, context);

    EasyMock.verify(context);
  }
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    EasyMock.expect(ctx.getCounter(MaybePruneRowsMapper.Elements.NEGLECTED)).andReturn(neglectedElementsCounter);
    neglectedElementsCounter.increment(1);

    EasyMock.replay(ctx, usedElementsCounter, neglectedElementsCounter);

    mapper.map(new VarLongWritable(123L), new VectorWritable(v1), ctx);
    mapper.map(new VarLongWritable(456L), new VectorWritable(v2), ctx);
    mapper.map(new VarLongWritable(789L), new VectorWritable(v3), ctx);

    EasyMock.verify(ctx, usedElementsCounter, neglectedElementsCounter);
  }
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    ToUserVectorReducer reducer = new ToUserVectorReducer();
    setField(reducer, "minPreferences", 2);

    EasyMock.replay(context);

    reducer.reduce(new VarLongWritable(123), Arrays.asList(new VarLongWritable(456)), context);

    EasyMock.verify(context);
  }
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        EasyMock.createMock(Reducer.Context.class);

    ToUserVectorReducer reducer = new ToUserVectorReducer();
    setField(reducer, "minPreferences", 2);

    context.write(EasyMock.eq(new VarLongWritable(123)), MathHelper.vectorMatches(
        MathHelper.elem(TasteHadoopUtils.idToIndex(456L), 1.0), MathHelper.elem(TasteHadoopUtils.idToIndex(789L), 1.0)));

    EasyMock.replay(context);

    reducer.reduce(new VarLongWritable(123), Arrays.asList(new VarLongWritable(456), new VarLongWritable(789)), context);

    EasyMock.verify(context);
  }
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Related Classes of org.apache.mahout.math.VarLongWritable

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  • mia.recommender.ch06.WikipediaItemIDIndexMapper
  • mia.recommender.ch06.WikipediaToItemPrefsMapper
  • org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob$ItemIDRatingMapper
  • org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJobTest
  • org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
  • org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
  • org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
  • org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
  • org.apache.mahout.cf.taste.hadoop.item.RecommenderJobTest
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