Package org.apache.mahout.classifier.bayes.mapreduce.common

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);
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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);
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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);
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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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  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
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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
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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
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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
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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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    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);
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Related Classes of org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver

  • org.apache.hadoop.conf.Configurable
  • org.apache.hadoop.fs.FileSystem
  • org.apache.hadoop.fs.Path
  • org.apache.hadoop.mapred.JobClient
  • org.apache.hadoop.mapred.JobConf
  • org.apache.mahout.classifier.bayes.common.BayesParameters
  • org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver
  • org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver
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