Examples of maxValue()

Examples of org.apache.mahout.math.Vector.maxValue()

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      int actual = newsGroups.intern(ng);
      NewsgroupHelper helper = new NewsgroupHelper();
      Vector input = helper.encodeFeatureVector(file, actual, 0, overallCounts);//no leak type ensures this is a normal vector
      Vector result = classifier.classifyFull(input);
      int cat = result.maxValueIndex();
      double score = result.maxValue();
      double ll = classifier.logLikelihood(actual, input);
      ClassifierResult cr = new ClassifierResult(newsGroups.values().get(cat), score, ll);
      ra.addInstance(newsGroups.values().get(actual), cr);

    }
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Examples of org.apache.mahout.math.Vector.maxValue()

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  @Override
  public Vector classify(Vector instance) {
    Vector result = classifyNoLink(instance);
    // Convert to probabilities by exponentiation.
    double max = result.maxValue();
    result.assign(Functions.minus(max)).assign(Functions.EXP);
    result = result.divide(result.norm(1));

    return result.viewPart(1, result.size() - 1);
  }
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Examples of org.apache.mahout.math.Vector.maxValue()

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    Vector v1 = new DenseVector(200);
    enc.addInteractionToVector("a","1.0",1.0, v1);
    int k = enc.getProbes();
    // should set k distinct locations to 1
    assertEquals((float) k, v1.norm(1), 0);
    assertEquals(1.0, v1.maxValue(), 0);

    // adding same interaction again should increment weights
    enc.addInteractionToVector("a","1.0",1.0,v1);
    assertEquals((float) k*2, v1.norm(1), 0);
    assertEquals(2.0, v1.maxValue(), 0);
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Examples of org.apache.mahout.math.Vector.maxValue()

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    assertEquals(1.0, v1.maxValue(), 0);

    // adding same interaction again should increment weights
    enc.addInteractionToVector("a","1.0",1.0,v1);
    assertEquals((float) k*2, v1.norm(1), 0);
    assertEquals(2.0, v1.maxValue(), 0);

    Vector v2 = new DenseVector(20000);
    enc.addInteractionToVector("a","1.0",1.0,v2);
    wv.addToVector("a", v2);
    cv.addToVector("1.0", v2);
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Examples of org.apache.mahout.math.Vector.maxValue()

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    Vector v1 = new DenseVector(200);
    enc.addInteractionToVector("a","0.9",0.5, v1);
    int k = enc.getProbes();
    // should set k distinct locations to 0.9*0.5
    assertEquals((float) k*0.5*0.9, v1.norm(1), 0);
    assertEquals(0.5*0.9, v1.maxValue(), 0);
  }

  @Test
  public void testAddToVectorWithTextValueEncoder() {
    WordValueEncoder wv = new StaticWordValueEncoder("word");
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Examples of org.apache.mahout.math.Vector.maxValue()

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      NewsgroupHelper helper = new NewsgroupHelper();
      //no leak type ensures this is a normal vector
      Vector input = helper.encodeFeatureVector(file, actual, 0, overallCounts);
      Vector result = classifier.classifyFull(input);
      int cat = result.maxValueIndex();
      double score = result.maxValue();
      double ll = classifier.logLikelihood(actual, input);
      ClassifierResult cr = new ClassifierResult(newsGroups.values().get(cat), score, ll);
      ra.addInstance(newsGroups.values().get(actual), cr);

    }
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Examples of org.apache.mahout.math.Vector.maxValue()

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      csv.processLine(line, v, false);
      Vector scores = learner.classifyFull(v);
      results.clear();
      if (maxScoreOnly) {
        results.put(csv.getTargetLabel(scores.maxValueIndex()),
            scores.maxValue());
      } else {
        for (int i = 0; i < scores.size(); i++) {
          results.put(csv.getTargetLabel(i), scores.get(i));
        }
      }
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Examples of org.apache.mahout.math.Vector.maxValue()

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  public void testAddToVector() {
    FeatureVectorEncoder enc = new ContinuousValueEncoder("foo");
    Vector v1 = new DenseVector(20);
    enc.addToVector("-123", v1);
    assertEquals(-123, v1.minValue(), 0);
    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
    assertEquals(123, v1.maxValue(), 0);
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Examples of org.apache.mahout.math.Vector.maxValue()

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    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
    assertEquals(123, v1.maxValue(), 0);
    assertEquals(0, v1.minValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    Vector v2 = new DenseVector(20);
    enc.setProbes(2);
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Examples of org.apache.mahout.math.Vector.maxValue()

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    assertEquals(123, v1.norm(1), 0);

    Vector v2 = new DenseVector(20);
    enc.setProbes(2);
    enc.addToVector("123", v2);
    assertEquals(123, v2.maxValue(), 0);
    assertEquals(2 * 123, v2.norm(1), 0);

    // v1 has one probe, v2 has two.  The first probe in v2 should be in the same
    // place as the only probe in v1
    v1 = v2.minus(v1);
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