Package org.apache.mahout.vectorizer.encoders

Examples of org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

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  private static final int FIELDS = 10;

  public static void main(String[] args) throws IOException {
    FeatureVectorEncoder[] encoder = new FeatureVectorEncoder[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      encoder[i] = new ConstantValueEncoder("v" + i);
    }
    long t0 = System.currentTimeMillis();
    Vector v = new DenseVector(1000);
    ByteBuffer buf = ByteBuffer.wrap(FileUtils
        .readFileToByteArray(new File(args[1])));
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    Map<String, Set<Integer>> traceDictionary = new TreeMap<String, Set<Integer>>();
    FeatureVectorEncoder encoder = new StaticWordValueEncoder("body");
    encoder.setProbes(2);
    encoder.setTraceDictionary(traceDictionary);
    FeatureVectorEncoder bias = new ConstantValueEncoder("Intercept");
    bias.setTraceDictionary(traceDictionary);
    FeatureVectorEncoder lines = new ConstantValueEncoder("Lines");
    lines.setTraceDictionary(traceDictionary);
    Dictionary newsGroups = new Dictionary();
   
    OnlineLogisticRegression learningAlgorithm =
        new OnlineLogisticRegression(
              20, FEATURES, new L1())
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  private static final int FIELDS = 10;

  public static void main(String[] args) throws IOException {
    FeatureVectorEncoder[] encoder = new FeatureVectorEncoder[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      encoder[i] = new ConstantValueEncoder("v" + i);
    }
    long t0 = System.currentTimeMillis();
    Vector v = new DenseVector(1000);
    BufferedReader in = new BufferedReader(new FileReader(args[1]));
    String line = in.readLine();
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  private SimpleCsvExamples() {}

  public static void main(String[] args) throws IOException {
    FeatureVectorEncoder[] encoder = new FeatureVectorEncoder[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      encoder[i] = new ConstantValueEncoder("v" + 1);
    }

    OnlineSummarizer[] s = new OnlineSummarizer[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      s[i] = new OnlineSummarizer();
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  }

  public static void main(String[] args) throws IOException {
    FeatureVectorEncoder[] encoder = new FeatureVectorEncoder[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      encoder[i] = new ConstantValueEncoder("v" + 1);
    }

    OnlineSummarizer[] s = new OnlineSummarizer[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      s[i] = new OnlineSummarizer();
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  }

  public static void main(String[] args) throws IOException {
    FeatureVectorEncoder[] encoder = new FeatureVectorEncoder[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      encoder[i] = new ConstantValueEncoder("v" + 1);
    }

    OnlineSummarizer[] s = new OnlineSummarizer[FIELDS];
    for (int i = 0; i < FIELDS; i++) {
      s[i] = new OnlineSummarizer();
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Related Classes of org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

  • mia.classifier.ch14.TrainNewsGroups
  • mia.classifier.ch16.samples.CSVEncoderFastLine
  • mia.classifier.ch16.samples.CSVEncoderLine
  • org.apache.mahout.classifier.sgd.SimpleCsvExamples
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