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

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

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    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);
   
    log.info("Calculating the weight Normalisation factor for each complement class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    CBayesThetaNormalizerDriver normalizer = new CBayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    BayesThetaNormalizerDriver normalizer = new BayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each complement class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    CBayesThetaNormalizerDriver normalizer = new CBayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    BayesThetaNormalizerDriver normalizer = new BayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    BayesThetaNormalizerDriver normalizer = new BayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each complement class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    CBayesThetaNormalizerDriver normalizer = new CBayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);

    log.info("Calculating the weight Normalisation factor for each class...");
    //Calculate the normalization factor Sigma_W_ij for each complement class.
    BayesThetaNormalizerDriver normalizer = new BayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);

    log.info("Calculating the weight Normalisation factor for each complement class...");
    //Calculate the normalization factor Sigma_W_ij for each complement class.
    CBayesThetaNormalizerDriver normalizer = new CBayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    BayesThetaNormalizerDriver normalizer = new BayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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    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);
   
    log.info("Calculating the weight Normalisation factor for each complement class...");
    // Calculate the normalization factor Sigma_W_ij for each complement class.
    CBayesThetaNormalizerDriver normalizer = new CBayesThetaNormalizerDriver();
    normalizer.runJob(input, output, params);
View Full Code Here
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