Ejemplo n.º 1
0
    return classifier


if __name__ == "__main__":
    if len(sys.argv) != 4:
        print >> sys.stderr, "Usage: classify.py [TAB_FILE] [classifier: tree, bayes, svm, logreg] [number to filter, 0 -> no filtering]"
        sys.exit(1)

    data = proj_utils.load_data(sys.argv[1])
    type = sys.argv[2]
    features = int(sys.argv[3])

    train_data, test_data = proj_utils.partition_data(data)

    model = train_classifier(train_data, type, features)
    train_CA, train_results = proj_utils.test_classifier(model, train_data)
    test_CA, test_results = proj_utils.test_classifier(model, test_data)

    #print "Train Accuracy: %f, Test Accuracy: %f" % (train_CA, test_CA)
    train_stats = proj_utils.get_stats(train_results)
    test_stats = proj_utils.get_stats(test_results)

    print "Train:\n%s" % str(train_stats)
    print "\nTest:\n%s" % str(test_stats)

    if features != 0:
        print "Features selected:\n%s" % str(model.domain)
        filename = '%s%sresults%s%s_filtered_%s.txt' % (
            os.path.dirname(__file__), os.sep, os.sep, type, str(features)
        )  #+ type + '_filtered_' + str(features) + '.txt'
    else:
Ejemplo n.º 2
0
		
	return classifier

if __name__ == "__main__":
    if len(sys.argv) != 4:
        print >> sys.stderr, "Usage: classify.py [TAB_FILE] [classifier: tree, bayes, svm, logreg] [number to filter, 0 -> no filtering]"
        sys.exit(1)

    data = proj_utils.load_data(sys.argv[1])
    type = sys.argv[2]
    features = int(sys.argv[3])

    train_data, test_data = proj_utils.partition_data(data)

    model = train_classifier(train_data, type, features)
    train_CA, train_results = proj_utils.test_classifier(model, train_data)
    test_CA, test_results = proj_utils.test_classifier(model, test_data)

    #print "Train Accuracy: %f, Test Accuracy: %f" % (train_CA, test_CA)
    train_stats = proj_utils.get_stats(train_results)
    test_stats = proj_utils.get_stats(test_results)

    print "Train:\n%s" % str(train_stats)
    print "\nTest:\n%s" % str(test_stats)
	
    if features != 0:
		print "Features selected:\n%s" % str(model.domain)
		filename = '%s%sresults%s%s_filtered_%s.txt' % (os.path.dirname(__file__), os.sep, os.sep, type, str(features)) #+ type + '_filtered_' + str(features) + '.txt'
    else:
		filename = '%s%sresults%s%s.txt' % (os.path.dirname(__file__), os.sep, os.sep, type)
    print filename