Python data_cleaner_test Examples

Example #1

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)

Example #2

File: AEExpert_forest.py Project: apurvaChaudhari/ae_2018

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