Comments (4)
I really like the idea. As the package gets used more and more some of its bugs are surfacing and proper testing and documentation would go a long way in fixing that.
from imbalanced-learn.
@fmfn Could you create a branch gh-pages. I can make the pull request of the documentation branch there : http://glemaitre.github.io/UnbalancedDataset/
The page needs some improvements but this is a start
from imbalanced-learn.
There you go:
https://github.com/fmfn/UnbalancedDataset/tree/gh-pages
from imbalanced-learn.
Adressed in PR #62
from imbalanced-learn.
Related Issues (20)
- [BUG] NearMiss Version 2 Using Over 500GB RAM Memory Unlike Version 1 and Version 3 HOT 4
- Random Sampler for spatial correlation HOT 1
- KMeansSMOTE balance_threshold formula HOT 2
- Add mypy stuff HOT 1
- Columns and DataType Not Explicitly Set on line 55 of _validation.py HOT 1
- [BUG] `_transform_one` fails on sparse DataFrame
- [BUG] RandomOversampler crashes on timedelta64 column that only contains NaTs
- [BUG] `BorderlineSMOTE` takes an unusually long amount of time in later versions of scikit-learn HOT 5
- Compatibility with scikit-learn 1.4.0 HOT 3
- [BUG] `sklearn=1.4` TypeError: BaggingClassifier.__init__() got an unexpected keyword argument 'base_estimator'
- [BUG] Attribute Error: Pipeline object has no attribute "_check_fit_params" HOT 1
- [BUG] Test issues with sklearn 1.4 HOT 3
- [SO] SMOTEEN generates imbalance dataset HOT 2
- AttributeError: 'NoneType' object has no attribute 'split' HOT 3
- [BUG]sampling_strategy working incorrectly with random oversampling HOT 2
- SmoteNC leads to Killed process HOT 2
- [BUG] ImportError: cannot import name '_check_X' from 'imblearn.utils._validation' (/usr/local/lib/python3.10/dist-packages/imblearn/utils/_validation.py) HOT 2
- fix scikit-learn 1.5 parse_version link HOT 1
- Python 3.13: Two tests from test_docstring.py are failing HOT 2
- New error message from established workflow: AttributeError: 'Pipeline' object has no attribute '_check_fit_params'[BUG] HOT 7
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