def predict(examples):
# 1. Crear modelo
print('(CLASSIFIER) Creating model...')
model = Model()
# 2. Cargar clasificador
print('(CLASSIFIER) Loading model...')
model.load()
# 3. Calcular prediccion
prediction = model.predict(examples)
print('(CLASSIFIER) Prediction obtained (' + str(prediction) + ')')
return prediction
def analyze(company):
""" This route responds when the user submits how many models they would like to train.
It trains and predicts with a model as many times as the user specified and then
redirects to the final results page.
Parameters:
company(str): stock symbol of the stock that the model will analyze
"""
# Reads the user's submission of how many models they would like to train and sets
# it to 1 if the user entered something besides a positive integer
try:
count = int(request.form['count'])
if (count <= 0 or count > 3):
count = 1
except ValueError:
count = 1
# Reading the data stored locally and then cleaning out the filesystem
X_pred = pd.read_csv('prediction_data.csv')
x = pd.read_csv('x.csv')
y = pd.read_csv('y.csv')
os.remove('prediction_data.csv')
os.remove('x.csv')
os.remove('y.csv')
# Stores the final prediction and error of each model after it has
# completed all of the epochs of traing
predictions = []
errors = []
# Stores the predictions each model makes after each epoch
prediction_json = []
for i in range(0, count):
reg = Model(len(x.columns))
prediction_history, rmse = reg.train(x, y, X_pred)
prediction_history.insert(0, 'Model ' + str(i + 1))
prediction_json.append(prediction_history)
Y_pred = reg.predict(X_pred)
predictions.append(Y_pred)
errors.append(rmse)
# Average the predictions to get the final or "true" prediction/error
true_prediction = sum(predictions) / len(predictions)
true_error = sum(errors) / len(errors)
# Saving result data so that it can be used in the next route
session['predictions'] = prediction_json
session['true_prediction'] = true_prediction
session['true_error'] = true_error
print('')
print('********************')
print('TRUE PREDICTION: ' + str(true_prediction))
print('********************')
print('')
print('True Error: ' + str(true_error))
print('')
return redirect('/' + company + '/' + str(count) + '/' 'results')
