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

Examples of org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver.runJob()

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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);

    log.info("Calculating weight sums for labels and features...");
    //Calculate the Sums of weights for each label, for each feature and for each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
    summer.runJob(input, output, params);
View Full Code Here
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    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);

    log.info("Calculating weight sums for labels and features...");
    //Calculate the Sums of weights for each label, for each feature and for each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
    summer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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    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);
   
    log.info("Calculating weight sums for labels and features...");
    // Calculate the Sums of weights for each label, for each feature and for
    // each feature and for each label
    BayesWeightSummerDriver summer = new BayesWeightSummerDriver();
View Full Code Here
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