Package org.apache.mahout.classifier

Examples of org.apache.mahout.classifier.RegressionResultAnalyzer

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    if (analyze) {
      double[][] results = classifier.getResults();
      if (results != null) {
        Dataset dataset = Dataset.load(getConf(), datasetPath);
        if (dataset.isNumerical(dataset.getLabelId())) {
          RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
          regressionAnalyzer.setInstances(results);
          log.info("{}", regressionAnalyzer);
        } else {
          ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
          for (double[] res : results) {
            analyzer.addInstance(dataset.getLabelString(res[0]),
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    time = System.currentTimeMillis() - time;
    log.info("Classification Time: {}", DFUtils.elapsedTime(time));

    if (analyze) {
      if (dataset.isNumerical(dataset.getLabelId())) {
        RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
        double[][] results = new double[resList.size()][2];
        regressionAnalyzer.setInstances(resList.toArray(results));
        log.info("{}", regressionAnalyzer);
      } else {
        ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
        for (double[] r : resList) {
          analyzer.addInstance(dataset.getLabelString(r[0]),
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    if (analyze) {
      double[][] results = classifier.getResults();
      if (results != null) {
        Dataset dataset = Dataset.load(getConf(), datasetPath);
        if (dataset.isNumerical(dataset.getLabelId())) {
          RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
          regressionAnalyzer.setInstances(results);
          log.info("{}", regressionAnalyzer);
        } else {
          ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
          for (double[] res : results) {
            analyzer.addInstance(dataset.getLabelString(res[0]),
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    time = System.currentTimeMillis() - time;
    log.info("Classification Time: {}", DFUtils.elapsedTime(time));

    if (analyze) {
      if (dataset.isNumerical(dataset.getLabelId())) {
        RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
        double[][] results = new double[resList.size()][2];
        regressionAnalyzer.setInstances(resList.toArray(results));
        log.info("{}", regressionAnalyzer);
      } else {
        ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
        for (double[] r : resList) {
          analyzer.addInstance(dataset.getLabelString(r[0]),
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Related Classes of org.apache.mahout.classifier.RegressionResultAnalyzer

  • org.apache.mahout.classifier.df.mapreduce.TestForest
  • java.text.NumberFormat
  • java.text.DecimalFormat
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