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

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

56
57
58
59
60
61
62
63
64
65
66
    }
   
    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
56
57
58
59
60
61
62
63
64
65
66
    }
   
    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
41
42
43
44
45
46
47
48
49
50
51
    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
42
43
44
45
46
47
48
49
50
51
52
    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
39
40
41
42
43
44
45
46
47
48
49
    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
39
40
41
42
43
44
45
46
47
48
49
    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
53
54
55
56
57
58
59
60
61
62
63
    }

    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
53
54
55
56
57
58
59
60
61
62
63
    }

    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
42
43
44
45
46
47
48
49
50
51
52
    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
41
42
43
44
45
46
47
48
49
50
51
    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
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.