def predict(self):
print 'Predicting'
if self.classifier == 'knn':
train_score = self.model.score(self.x_train, self.y_train)
print 'KNN train score:', train_score
if self.do_validation():
val_score = self.model.score(self.x_validate, self.y_validate)
print 'KNN val score: ', val_score
else:
import pprint
self.predict_train = self.model.predict_proba(self.x_train)
print 'Training Score logloss: ', functions.logloss(self.predict_train, self.y_train), ',',
print 'Training Score precision: ', functions.precision(self.predict_train, self.y_train), ',',
if self.do_validation():
self.predict_validate = self.model.predict_proba(self.x_validate)
precision = functions.logloss(self.predict_validate, self.y_validate)
print 'Validation Score: ', precision, ',',
precision = functions.precision(self.predict_validate, self.y_validate)
print 'Validation Score precision: ', precision, ',',
def print_accuracy(predicted, y):
print "logloss: ", functions.logloss(predicted, y)
print "precision: ", functions.precision(predicted, y)
