def test_run(): test_file_path = os.path.join(os.getcwd(), 'input_data/test_LNMuIYp/test.csv') data = pd.read_csv(test_file_path) output = pd.DataFrame() output.loc[:, 'session_id'] = data['session_id'] scaler = joblib.load(scaler_filename) model = joblib.load(model_filename) data = data_cleaner_test(data, scaler) y_pred = model.predict(data.values) output.loc[:, 'is_click'] = y_pred output.to_csv(op_path, index=False)
def test_run(): test_file_path = os.path.join(os.getcwd(), 'input_data/test_LNMuIYp/test.csv') data = pd.read_csv(test_file_path) output = pd.DataFrame() output.loc[:, 'session_id'] = data['session_id'] scaler = joblib.load(scaler_filename) model = joblib.load(model_filename) is_interesting = pd.read_pickle(is_int_fname) to_keep = pickle.load(open(to_keep_file_name, "rb")) data = data_cleaner_test(data, scaler, to_keep, is_interesting) y_pred = model.predict(data.values) output.loc[:, 'is_click'] = y_pred output.to_csv(op_path, index=False) a = 10