training_x = []
training_y = []
for day_offset in range(int((end_date - start_date).days) + 1):
    curr_day = start_date + timedelta(day_offset)
    for company in companies:
        output_training_data(cursor, training_x, training_y, company, curr_day)

clf = MLPClassifier(solver='adam', alpha=1e-5, hidden_layer_sizes=(5, 3), random_state=1)
clf.fit(training_x, training_y)