def testNetwork(self, data): converted_json = self.convertJsonToList(data) featuresObject = Features(converted_json) featuresObject.processFeatures() input_arr = featuresObject.getFeatures() print "in testNetwork" print input_arr return chr(self.clf.predict(input_arr))
def addTrainingSetEntry(self, data, target, convert):
if convert:
data = convertJsonToList(data)
featuresObject = Features(data)
featuresObject.processFeatures()
input = featuresObject.getFeatures()
outfile = open('training_data.csv', 'a')
outfile.write(','.join(map(str, input)))
outfile.write(',')
outfile.write(str(ord(target)))
outfile.write('\n')
outfile.close()
