Examples with DenseVector org.apache.ignite.ml.math.primitives.vector.impl.DenseVector used on opensource projects

Example 36 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class OneHotEncoderPreprocessorTest method testTwoCategorialFeatureAndTwoDoubleFeatures.

/**
 */
@Test
public void testTwoCategorialFeatureAndTwoDoubleFeatures() {
    Vector[] data = new Vector[] { new DenseVector(new Serializable[] { "42", 1.0, "M", 2.0 }), new DenseVector(new Serializable[] { "43", 2.0, "F", 3.0 }), new DenseVector(new Serializable[] { "42", 3.0, Double.NaN, 4.0 }), new DenseVector(new Serializable[] { "42", 4.0, "F", 5.0 }) };
    Vectorizer<Integer, Vector, Integer, Double> vectorizer = new DummyVectorizer<>(0, 1, 2, 3);
    HashMap[] encodingValues = new HashMap[4];
    encodingValues[0] = new HashMap() {

        {
            put("42", 0);
            put("43", 1);
        }
    };
    encodingValues[2] = new HashMap() {

        {
            put("F", 0);
            put("M", 1);
            put("", 2);
        }
    };
    OneHotEncoderPreprocessor<Integer, Vector> preprocessor = new OneHotEncoderPreprocessor<Integer, Vector>(encodingValues, vectorizer, new HashSet() {

        {
            add(0);
            add(2);
        }
    });
    double[][] postProcessedData = new double[][] { { 1.0, 2.0, 1.0, 0.0, 0.0, 1.0, 0.0 }, { 2.0, 3.0, 0.0, 1.0, 1.0, 0.0, 0.0 }, { 3.0, 4.0, 1.0, 0.0, 0.0, 0.0, 1.0 }, { 4.0, 5.0, 1.0, 0.0, 1.0, 0.0, 0.0 } };
    for (int i = 0; i < data.length; i++) assertArrayEquals(postProcessedData[i], preprocessor.apply(i, data[i]).features().asArray(), 1e-8);
}

Example 37 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class OneHotEncoderPreprocessorTest method testOneCategorialFeature.

/**
 */
@Test
public void testOneCategorialFeature() {
    Vector[] data = new Vector[] { new DenseVector(new Serializable[] { "42" }), new DenseVector(new Serializable[] { "43" }), new DenseVector(new Serializable[] { "42" }) };
    Vectorizer<Integer, Vector, Integer, Double> vectorizer = new DummyVectorizer<>(0);
    OneHotEncoderPreprocessor<Integer, Vector> preprocessor = new OneHotEncoderPreprocessor<Integer, Vector>(new HashMap[] { new HashMap() {

        {
            put("42", 0);
            put("43", 1);
        }
    } }, vectorizer, new HashSet() {

        {
            add(0);
        }
    });
    double[][] postProcessedData = new double[][] { { 1.0, 0.0 }, { 0.0, 1.0 }, { 1.0, 0.0 } };
    for (int i = 0; i < data.length; i++) assertArrayEquals(postProcessedData[i], preprocessor.apply(i, data[i]).features().asArray(), 1e-8);
}

Example 38 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class VectorImplementationsTest method assignVectorWrongCardinality.

/**
 */
private void assignVectorWrongCardinality(Vector v, String desc) {
    boolean expECaught = false;
    try {
        v.assign(new DenseVector(v.size() + 1));
    } catch (CardinalityException ce) {
        expECaught = true;
    }
    assertTrue("Expect exception at too large size in " + desc, expECaught);
    if (v.size() < 2)
        return;
    expECaught = false;
    try {
        v.assign(new DenseVector(v.size() - 1));
    } catch (CardinalityException ce) {
        expECaught = true;
    }
    assertTrue("Expect exception at too small size in " + desc, expECaught);
}

Example 39 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class VectorImplementationsTest method assertWrongCardinality.

/**
 */
private void assertWrongCardinality(Vector v, String desc, BiFunction<Vector, Vector, Vector> vecOperation) {
    boolean expECaught = false;
    try {
        vecOperation.apply(v, new DenseVector(v.size() + 1));
    } catch (CardinalityException ce) {
        expECaught = true;
    }
    assertTrue("Expect exception at too large size in " + desc, expECaught);
    if (v.size() < 2)
        return;
    expECaught = false;
    try {
        vecOperation.apply(v, new DenseVector(v.size() - 1));
    } catch (CardinalityException ce) {
        expECaught = true;
    }
    assertTrue("Expect exception at too small size in " + desc, expECaught);
}

Example 40 with DenseVector

use of org.apache.ignite.ml.math.primitives.vector.impl.DenseVector in project ignite by apache.

the class VectorNormTest method dotTest.

/**
 */
@Test
public void dotTest() {
    consumeSampleVectors((v, desc) -> {
        // IMPL NOTE this initialises vector
        new VectorImplementationsTest.ElementsChecker(v, desc);
        final int size = v.size();
        final Vector v1 = new DenseVector(size);
        invertValues(v, v1);
        final double actual = v.dot(v1);
        double exp = 0;
        for (Vector.Element e : v.all()) exp += e.get() * v1.get(e.index());
        final VectorImplementationsTest.Metric metric = new VectorImplementationsTest.Metric(exp, actual);
        assertTrue("Dot product not close enough at " + desc + ", " + metric, metric.closeEnough());
    });
}