svm.py 文件源码

def _compute_features(self, raw_documents):

        values = array.array(str("f"))
        print "Preloading regexes"
        dummy_processor = event_classifier.StringProcessor('')
        for name, rule in named_rules_list:
            dummy_processor.count_tokens(rule)

        print "Computing Features"
        result = Parallel(
            n_jobs=7 if process_all else 1, verbose=10
        )(delayed(process_doc)(fb_event) for event_id, fb_event in raw_documents)
        for row_values in result:
            values.extend(row_values)

        X = np.array(values)
        X.shape = (len(raw_documents), len(self.features))

        return X