# -*- coding: utf-8 -*- import sys sys.path.append('../../') from tracker.lib.mood_detection import MoodDetectTrainer import nltk import os, cPickle, gzip MD = MoodDetectTrainer() MD.load() #print MD.classifier.show_most_informative_features(50) fileName = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../data', 'mood_traing_test_50000.dat') MDT_data = cPickle.load(gzip.open(fileName, 'rb')) print nltk.classify.accuracy(MD.classifier, MDT_data)
# -*- coding: utf-8 -*- import sys sys.path.append('../../') from tracker.lib.mood_detection import MoodDetectTrainer import nltk import os,cPickle,gzip MD = MoodDetectTrainer() MD.load() #print MD.classifier.show_most_informative_features(50) fileName = os.path.join(os.path.dirname(os.path.abspath(__file__)),'../data', 'mood_traing_test_50000.dat') MDT_data = cPickle.load(gzip.open(fileName,'rb')) print nltk.classify.accuracy(MD.classifier, MDT_data)