[docs]def check_contamination(contamination, low=0., high=0.5):
"""Raise ValueError if the contamination is not valid."""
if contamination != 'auto' and not low < contamination <= high:
raise ValueError(
f'contamination must be in (low, high] but was {contamination}'
)
[docs]def check_novelty(novelty, method):
"""Raise AttributeError if ``novelty`` is not valid."""
if novelty and method == 'fit_predict':
raise AttributeError(
f'{method} is not available when novelty=True, use '
f'novelty=False if you want to predict on the training data'
)
elif not novelty and method != 'fit_predict':
raise AttributeError(
f'{method} is not available when novelty=False, use '
f'novelty=True if you want to predict on new unseen data'
)