Package com.github.pmerienne.trident.ml.classification

Source Code of com.github.pmerienne.trident.ml.classification.ClassifyQueryTest

/**
* Copyright 2013-2015 Pierre Merienne
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.github.pmerienne.trident.ml.classification;

import static java.util.Arrays.asList;
import static java.util.Collections.EMPTY_LIST;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertNull;
import static org.junit.Assert.assertTrue;
import static org.mockito.BDDMockito.given;
import static org.mockito.Matchers.same;
import static org.mockito.Mockito.mock;

import java.util.Arrays;
import java.util.List;

import org.junit.Test;

import storm.trident.state.map.MapState;
import storm.trident.tuple.TridentTuple;

import com.github.pmerienne.trident.ml.core.Instance;

@SuppressWarnings("unchecked")
public class ClassifyQueryTest {

  @Test
  public void should_classify_instance_using_classifier() {
    // Given
    Boolean expectedLabel1 = true;
    Boolean expectedLabel2 = false;

    String classifierName = "TestLearner";
    ClassifyQuery<Boolean> query = new ClassifyQuery<Boolean>(classifierName);

    double[] features1 = new double[10];
    double[] features2 = new double[10];
    TridentTuple tuple1 = createMockedInstanceTuple(features1);
    TridentTuple tuple2 = createMockedInstanceTuple(features2);
    List<TridentTuple> tuples = Arrays.asList(tuple1, tuple2);

    Classifier<Boolean> expectedClassifier = mock(Classifier.class);
    given(expectedClassifier.classify(same(features1))).willReturn(expectedLabel1);
    given(expectedClassifier.classify(same(features2))).willReturn(expectedLabel2);

    List<List<Object>> expectedKeys = asList(asList((Object) classifierName));
    MapState<Classifier<Boolean>> state = mock(MapState.class);
    given(state.multiGet(expectedKeys)).willReturn(Arrays.asList(expectedClassifier));

    // When
    List<Boolean> labels = query.batchRetrieve(state, tuples);

    assertEquals(2, labels.size());
    assertTrue(labels.get(0));
    assertFalse(labels.get(1));
  }

  @Test
  public void should_classify_instance_without_classifier() {
    // Given
    String classifierName = "TestLearner";
    ClassifyQuery<Boolean> query = new ClassifyQuery<Boolean>(classifierName);

    double[] features1 = new double[10];
    double[] features2 = new double[10];
    TridentTuple tuple1 = createMockedInstanceTuple(features1);
    TridentTuple tuple2 = createMockedInstanceTuple(features2);
    List<TridentTuple> tuples = Arrays.asList(tuple1, tuple2);

    MapState<Classifier<Boolean>> state = mock(MapState.class);
    given(state.multiGet(asList(asList((Object) classifierName)))).willReturn(EMPTY_LIST);

    // When
    List<Boolean> labels = query.batchRetrieve(state, tuples);

    assertEquals(2, labels.size());
    assertNull(labels.get(0));
    assertNull(labels.get(1));
  }

  private TridentTuple createMockedInstanceTuple(double[] features) {
    Instance<Boolean> instance = new Instance<Boolean>(features);

    TridentTuple tuple = mock(TridentTuple.class);
    given(tuple.get(0)).willReturn(instance);

    return tuple;
  }
}
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