Package org.grouplens.lenskit.vectors

Examples of org.grouplens.lenskit.vectors.SparseVector

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     * {@inheritDoc}
     * <p>Delegates to {@link #predict(long, java.util.Collection)}.
     */
    @Override
    public double predict(long user, long item) {
        SparseVector v = predict(user, LongLists.singleton(item));
        return v.get(item, Double.NaN);
    }
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        assertTrue(rank(MutableSparseVector.create()).isEmpty());
    }

    @Test
    public void testRankSingle() {
        SparseVector v = MutableSparseVector.wrap(new long[]{1}, new double[]{5});
        SparseVector r = rank(v);
        assertEquals(1, r.size());
        assertEquals(1, r.get(1), 1.0e-6);
    }
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    @Test
    public void testRankSeveral() {
        long[] keys = {1, 2, 3, 4, 5};
        double[] values = {7, 2, 3, 1, 5};
        SparseVector v = MutableSparseVector.wrap(keys, values).freeze();
        SparseVector r = rank(v);
        assertEquals(5, r.size());
        assertEquals(1, r.get(1), 1.0e-6);
        assertEquals(2, r.get(5), 1.0e-6);
        assertEquals(3, r.get(3), 1.0e-6);
        assertEquals(4, r.get(2), 1.0e-6);
        assertEquals(5, r.get(4), 1.0e-6);
    }
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    @Test
    public void testRankTie() {
        long[] keys = {1, 2, 3, 4, 5};
        double[] values = {7, 2, 3, 1, 3};
        SparseVector v = MutableSparseVector.wrap(keys, values).freeze();
        SparseVector r = rank(v);
        assertEquals(5, r.size());
        assertEquals(1, r.get(1), 1.0e-6);
        assertEquals(2.5, r.get(3), 1.0e-6);
        assertEquals(2.5, r.get(5), 1.0e-6);
        assertEquals(4, r.get(2), 1.0e-6);
        assertEquals(5, r.get(4), 1.0e-6);
    }
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    public void testDisjoint() {
        long[] k1 = {2, 5, 6};
        double[] val1 = {1, 3, 2};
        long[] k2 = {3, 4, 7};
        double[] val2 = {1, 3, 2};
        SparseVector v1, v2;
        v1 = MutableSparseVector.wrap(k1, val1).freeze();
        v2 = MutableSparseVector.wrap(k2, val2).freeze();
        assertEquals(0, similarity.similarity(v1, v2), EPSILON);
        assertEquals(0, dampedSimilarity.similarity(v1, v2), EPSILON);
    }
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    @Test
    public void testEqualKeys() {
        long[] keys = {2, 5, 6};
        double[] val1 = {1, 2, 1};
        double[] val2 = {1, 2, 5};
        SparseVector v1 = MutableSparseVector.wrap(keys, val1).freeze();
        SparseVector v2 = MutableSparseVector.wrap(keys, val2).freeze();
        assertEquals(1, similarity.similarity(v1, v1), EPSILON);
        assertEquals(0.745355993, similarity.similarity(v1, v2), EPSILON);
    }
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    @Test
    public void testDampedEqualKeys() {
        long[] keys = {2, 5, 6};
        double[] val1 = {1, 2, 1};
        double[] val2 = {1, 2, 5};
        SparseVector v1 = MutableSparseVector.wrap(keys, val1).freeze();
        SparseVector v2 = MutableSparseVector.wrap(keys, val2).freeze();
        assertEquals(0.375, dampedSimilarity.similarity(v1, v1), EPSILON);
        assertEquals(0.42705098, dampedSimilarity.similarity(v1, v2), EPSILON);
    }
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    public void testOverlap() {
        long[] k1 = {1, 2, 5, 6};
        double[] val1 = {3, 1, 2, 1};
        long[] k2 = {2, 3, 5, 6, 7};
        double[] val2 = {1, 7, 2, 5, 0};
        SparseVector v1 = MutableSparseVector.wrap(k1, val1).freeze();
        SparseVector v2 = MutableSparseVector.wrap(k2, val2).freeze();
        assertEquals(1, similarity.similarity(v1, v1), EPSILON);
        assertEquals(1, similarity.similarity(v2, v2), EPSILON);
        assertEquals(0.29049645, similarity.similarity(v1, v2), EPSILON);
    }
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    public void testDisjoint() {
        long[] k1 = {2, 5, 6};
        double[] val1 = {1, 3, 2};
        long[] k2 = {3, 4, 7};
        double[] val2 = {1, 3, 2};
        SparseVector v1, v2;
        v1 = MutableSparseVector.wrap(k1, val1).freeze();
        v2 = MutableSparseVector.wrap(k2, val2).freeze();
        assertThat(similarity.similarity(v1, v1), closeTo(1, EPSILON));
        assertThat(similarity.similarity(v1, v2), closeTo(-0.414213562, EPSILON));
    }
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    @Test
    public void testEqualKeys() {
        long[] keys = {2, 5, 6};
        double[] val1 = {1, 2, 1};
        double[] val2 = {1, 2, 5};
        SparseVector v1 = MutableSparseVector.wrap(keys, val1).freeze();
        SparseVector v2 = MutableSparseVector.wrap(keys, val2).freeze();
        assertThat(similarity.similarity(v1, v1), closeTo(1, EPSILON));
        assertThat(similarity.similarity(v1, v2), closeTo(0.28635582, EPSILON));
    }
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