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Document print_changed_only in sklearn.config_context #14426

@thomasjpfan

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@thomasjpfan

Document print_changed_only in sklearn.config_context

@contextmanager
def config_context(**new_config):
"""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. Global default: False.
working_memory : int, optional
If set, scikit-learn will attempt to limit the size of temporary arrays
to this number of MiB (per job when parallelised), often saving both
computation time and memory on expensive operations that can be
performed in chunks. Global default: 1024.

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