sklearn.config_context(*args, **kwds)

Context manager for global scikit-learn configuration


assume_finite : bool, optional

If True, validation for finiteness will be skipped, saving time, but leading to potential crashes. If False, validation for finiteness will be performed, avoiding error.


All settings, not just those presently modified, will be returned to their previous values when the context manager is exited. This is not thread-safe.


>>> import sklearn
>>> from sklearn.utils.validation import assert_all_finite
>>> with sklearn.config_context(assume_finite=True):
...     assert_all_finite([float('nan')])
>>> with sklearn.config_context(assume_finite=True):
...     with sklearn.config_context(assume_finite=False):
...         assert_all_finite([float('nan')])
Traceback (most recent call last):
ValueError: Input contains NaN, ...