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How to use get_columns method in dbt-osmosis

Best Python code snippet using dbt-osmosis_python

test_gbt_classifier.py

Source:test_gbt_classifier.py

...6    GBTClassifierModelOperation, GBTClassifierOperation7from tests.scikit_learn import util8from tests.scikit_learn.util import get_label_data, get_X_train_data9@pytest.fixture10def get_columns():11    return ['sepallength', 'sepalwidth', 'petallength', 'petalwidth']12@pytest.fixture13def get_df(get_columns):14    return util.iris(get_columns)15@pytest.fixture16def get_arguments(get_columns):17    return {18        'parameters': {'features': get_columns,19                       'multiplicity': {'train input data': 0},20                       'label': [get_columns[0]]},21        'named_inputs': {22            'train input data': 'df',23        },24        'named_outputs': {...

test_naive_bayes_classifier.py

Source:test_naive_bayes_classifier.py

...9# pd.set_option('display.max_rows', None)10# pd.set_option('display.max_columns', None)11# pd.set_option('display.max_colwidth', None)12@pytest.fixture13def get_columns():14    return ['sepallength', 'sepalwidth', 'petallength', 'petalwidth']15@pytest.fixture16def get_df(get_columns):17    return pd.DataFrame(util.iris(get_columns))18@pytest.fixture19def get_arguments(get_columns):20    return {21        'parameters': {'features': get_columns,22                       'multiplicity': {'train input data': 0},23                       'label': [get_columns[0]]},24        'named_inputs': {25            'train input data': 'df',26        },27        'named_outputs': {...

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