category_encoders

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AttributeError: 'DataFrame' object has no attribute 'unique'

1

suramja

The function is currently too long and unreadable

PaulWestenthanner

## Expected Behavior The pipeline should also run python 3.11 and python 3.12

PaulWestenthanner

Returning a numpy array in one hot encoder

1

## Expected Behavior Even if the `category_encoders.one_hot.OneHotEncoder` doesn't encode any features, we would expect it to convert a pd.DataFrame into a numpy.ndarray if we set the parameter : `return_df=False` ##...

adriencrtr

Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.3.0 to 2.5.0. Release notes Sourced from urllib3's releases. 2.5.0 🚀 urllib3 is fundraising for HTTP/2 support urllib3 is raising ~$40,000 USD to release HTTP/2 support and...

dependabot[bot]

Bumps [requests](https://github.com/psf/requests) from 2.32.3 to 2.32.4. Release notes Sourced from requests's releases. v2.32.4 2.32.4 (2025-06-10) Security CVE-2024-47081 Fixed an issue where a maliciously crafted URL and trusted environment will retrieve...

dependabot[bot]

I am not able to provide a simple reproducing test case but the following fail ```python from category_encoder import CountEncoder # Works as expected CountEncoder( drop_invariant=True, normalize=False, min_group_size=0.03, combine_min_nan_groups=True ).fit_transform(df[['a...

mathisdrn

Hello, I was working with CE transformers and stumbled upon an error in my workflow. After investigating, I found that CE transformers in ColumnTransformer object from scikit-learn do not necessarily...

MarcBresson

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.5 to 3.1.6. Release notes Sourced from jinja2's releases. 3.1.6 This is the Jinja 3.1.6 security release, which fixes security issues but does not otherwise change behavior...

dependabot[bot]