sklearn.config_context

sklearn.config_context(**new_config) [source]

Context manager for global scikit-learn configuration

Parameters:	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.

Notes

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.

Examples

>>> 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, ...