How to use the bambi.models.Model function in bambi

def test_term_split(diabetes_data):
    # Split a continuous fixed variable
    model = Model(diabetes_data)
    model.add_term('BMI', split_by='age_grp')
    assert model.terms['BMI'].data.shape == (442, 3)
    # Split a categorical fixed variable
    model.reset()
    model.add_term('BMI', split_by='age_grp', categorical=True)
    assert model.terms['BMI'].data.shape == (442, 489)
    # Split a continuous random variable
    model.reset()
    model.add_term('BMI', split_by='age_grp', categorical=False, random=True)
    assert model.terms['BMI'].data.shape == (442, 3)
    # Split a categorical random variable
    model.reset()
    model.add_term('BMI', split_by='age_grp', categorical=True, random=True)
    t = model.terms['BMI'].data
    assert isinstance(t, dict)
    assert t['age_grp[0]'].shape == (442, 83)

def test_term_init(diabetes_data):
    model = Model(diabetes_data)
    term = Term(model, 'BMI', diabetes_data['BMI'])
    # Test that all defaults are properly initialized
    assert term.name == 'BMI'
    assert term.categorical == False
    assert term.type_ == 'fixed'
    assert term.levels is not None
    assert term.data.shape == (442, 1)

def test_model_init_and_intercept(diabetes_data):

    model = Model(diabetes_data, intercept=True)
    assert hasattr(model, 'data')
    assert 'Intercept' in model.terms
    assert len(model.terms) == 1
    assert model.y is None
    assert hasattr(model, 'backend')
    model = Model(diabetes_data)
    assert 'Intercept' not in model.terms
    assert not model.terms

def test_model_init_and_intercept(diabetes_data):

    model = Model(diabetes_data, intercept=True)
    assert hasattr(model, 'data')
    assert 'Intercept' in model.terms
    assert len(model.terms) == 1
    assert model.y is None
    assert hasattr(model, 'backend')
    model = Model(diabetes_data)
    assert 'Intercept' not in model.terms
    assert not model.terms

def base_model(diabetes_data):
    return Model(diabetes_data)