def run_full():
train_X, train_Y, _ = get_db_data(tags=['train1', 'train2', 'train3'])
test_X, _, IDs = get_db_data(tags=['test'])
m = BigModel(columns, n_est=300)
R = m.train_test(train_X, train_Y, test_X)
R = np.exp(R)
write_submission("bigmodelv6.csv", R, IDs)
def run_full():
train_X, train_Y, _ = get_db_data(tags=['train1', 'train2', 'train3'])
test_X, _, IDs = get_db_data(tags=['test'])
m = BigModel(columns, n_est=300)
R = m.train_test(train_X, train_Y, test_X)
R = np.exp(R)
write_submission("bigmodelv6.csv", R, IDs)
def run_test():
#train_X, train_Y, _ = get_db_data(tags=['train1'])
#test_X, test_Y, _ = get_db_data(tags=['train2'])
train_X, train_Y, _ = get_db_data(tags=['train1', 'train2'])
test_X, test_Y, _ = get_db_data(tags=['train3'])
model = BigModel(columns, n_est=500)
R2 = model.train_test(train_X, train_Y, test_X)
print get_rmse(test_Y, R2)
def run_test():
#train_X, train_Y, _ = get_db_data(tags=['train1'])
#test_X, test_Y, _ = get_db_data(tags=['train2'])
train_X, train_Y, _ = get_db_data(tags=['train1', 'train2'])
test_X, test_Y, _ = get_db_data(tags=['train3'])
model = BigModel(columns, n_est=500)
R2 = model.train_test(train_X, train_Y, test_X)
print get_rmse(test_Y, R2)
