def test_drop_vif():
df = drop_vif(frame.fillna(-1), exclude='target')
assert ['C', 'F', 'target'] == df.columns.tolist()
def test_stepwise_return_drop():
df, drop_list = stepwise(frame.fillna(-1),
target='target',
return_drop=True)
assert ['B', 'A', 'D'] == drop_list
def test_stepwise_exclude():
df = stepwise(frame.fillna(-1), target='target', exclude='B')
assert ['B', 'C', 'E', 'F', 'target'] == df.columns.tolist()
def test_stepwise_forward():
df = stepwise(frame.fillna(-1), target='target', direction='forward')
assert ['C', 'E', 'F', 'target'] == df.columns.tolist()
def test_stepwise_ks():
df = stepwise(frame.fillna(-1), target = 'target', criterion = 'ks', direction = 'forward')
assert ['A', 'C', 'target'] == df.columns.tolist()
def test_stepwise_lr():
df = stepwise(frame.fillna(-1), target = 'target', estimator = 'lr', direction = 'forward')
assert ['C', 'target'] == df.columns.tolist()
