Examples of BayesFeatureDriver

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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      dfs.delete(outPath, true);
    }
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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      dfs.delete(outPath, true);
    }
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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    Configuration conf = new Configuration();
    HadoopUtil.delete(conf, output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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    Configuration conf = new Configuration();
    HadoopUtil.delete(conf, output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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  public void runJob(Path input, Path output, BayesParameters params) throws IOException {
    HadoopUtil.overwriteOutput(output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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  public void runJob(Path input, Path output, BayesParameters params) throws IOException {
    HadoopUtil.overwriteOutput(output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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      dfs.delete(outPath, true);
    }

    log.info("Reading features...");
    //Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);

    log.info("Calculating Tf-Idf...");
    //Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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      dfs.delete(outPath, true);
    }

    log.info("Reading features...");
    //Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);

    log.info("Calculating Tf-Idf...");
    //Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output,params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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    Configuration conf = new Configuration();
    HadoopUtil.delete(conf, output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

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    Configuration conf = new Configuration();
    HadoopUtil.delete(conf, output);
   
    log.info("Reading features...");
    // Read the features in each document normalized by length of each document
    BayesFeatureDriver feature = new BayesFeatureDriver();
    feature.runJob(input, output, params);
   
    log.info("Calculating Tf-Idf...");
    // Calculate the TfIdf for each word in each label
    BayesTfIdfDriver tfidf = new BayesTfIdfDriver();
    tfidf.runJob(input, output, params);
View Full Code Here
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