removing the warning supression in datasets

This commit is contained in:
Alejandro Moreo Fernandez 2024-08-22 18:11:47 +02:00
parent 13beb45274
commit e580e33b83
3 changed files with 2 additions and 5 deletions

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Change Log 0.1.9
----------------
- [TODO] add LeQua2024 and normalized match distance to qp.error
- [TODO] add CDE-iteration and Bayes-CDE methods
- [TODO] add Friedman's method and DeBias
- [TODO] check ignore warning stuff (check https://docs.python.org/3/library/warnings.html#temporarily-suppressing-warnings)
- Added a default classifier for aggregative quantifiers, which now can be instantiated without specifying
the classifier. The default classifier can be accessed in qp.environ['DEFAULT_CLS'] and is assigned to

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def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
import os
from contextlib import contextmanager
import zipfile

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import itertools
import warnings
from collections import defaultdict
from typing import Literal, Union, Callable