List of runJob() Examples

Examples of runJob()

com.ontology2.haruhi.Cluster.runJob()
it.eng.spagobi.engines.talend.runtime.RuntimeRepository.runJob()
Run job. @param job the job @param env the environment @throws JobNotFoundException the job not found exception @throws ContextNotFoundException the context not found exception @throws JobExecutionException the job execution exception
org.apache.cloudstack.framework.jobs.AsyncJobDispatcher.runJob()
org.apache.hadoop.mapred.JobClient.runJob()
Utility that submits a job, then polls for progress until the job is complete. @param job the job configuration. @throws IOException
org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver.runJob()
Run the job @param input the input pathname String @param output the output pathname String @throws ClassNotFoundException @throws InterruptedException
org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver.runJob()
Run the job @param input the input pathname String @param output the output pathname String @throws ClassNotFoundException @throws InterruptedException
org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver.runJob()
Run the job @param input the input pathname String @param output the output pathname String
org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver.runJob()
Run the job @param input the input pathname String @param output the output pathname String @throws ClassNotFoundException
org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerDriver.runJob()
Run the job @param input the input pathname String @param output the output pathname String
org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.runJob()
org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob.runJob()
Progammatic invocation of run() @param eigenInput Output of LanczosSolver @param corpusInput Input of LanczosSolver
org.apache.pig.backend.hadoop.executionengine.tez.plan.operator.NativeTezOper.runJob()
org.ggf.drmaa.Session.runJob()
Submit a job with attributes defined in the job template, jt. The returned job identifier is a String identical to that returned from the underlying DRM system. @param jt the job template to be used to create the job @throws DrmaaException May be one of the following:
- TryLaterException -- the DRM was temporarily unable to fulfill the request, but a retry might succeed
- DeniedByDrmException -- the DRM has rejected the job due to configuration problems either in the DRM or the job template
- InvalidJobTemplateException -- the JobTemplate instance does not belong to the current session, was not created with createJobTemplate(), or has already been deleted
- NoActiveSessionException -- the session has not yet been initialized or has already been exited
- DrmCommunicationException -- the DRMAA implementation was unable to contact the DRM
- AuthorizationException -- the executing user does not have sufficient permissions to execute the desired action
- IllegalArgumentException -- an argument is invalid
- InternalException -- an error has occured in the DRMAA implementation
@return job identifier String identical to that returned from theunderlying DRM system
org.ofbiz.service.job.JobManager.runJob()
Queues a Job to run now.

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

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

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

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

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

    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);

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

    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.runJob()

    }


    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.runJob()

    }


    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.BayesTfIdfDriver.runJob()

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

    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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