Example #1
0
# -*- 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)
 def loadCls():
     ThreadedTCPServer.langCls = LangDetect(supportedLangs)
     ThreadedTCPServer.moodCls = MoodDetect(MoodDetectTrainer())