def home():
if request.method == 'GET':
return render_template('index.html')
else:
hours = request.form['hours']
message = model.answer(hours)
return render_template('index.html', message=message)
def train_and_test(learning_rate, epoch_cnt, tao, train, test, cls): train_features, train_answers = split(train) train_answers = answers_for_class(train_answers, cls) test_features, test_answers = split(test) test_answers = answers_for_class(test_answers, cls) feature_cnt = len(train_features[0]) model = Adagrad(learning_rate=learning_rate, epoch_cnt=epoch_cnt, tao=tao, n=feature_cnt) model.train(train_features, train_answers) model_answers = answer(model.predict(test_features)) accuracy = calculate_accuracy(model_answers, test_answers) return accuracy
def get_prediction(context, query, n_clicks, data):
if data is None:
data = {}
data['clicks'] = 1
return [''], data
if n_clicks and data['clicks'] <= n_clicks:
data['clicks'] = n_clicks + 1
return [answer(context, query)], data
else:
print(data, n_clicks)
return [''], data