Comments (4)
The CI that was broken this morning seems all green now! Super!
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Ah wait, I think it is already fixed on the main branch. In that case, can we maybe do a very small patch release with this fix? Otherwise, I believe it currently breaks when you run pip install scikit-learn skrub
because you'll get the most recent versions.
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yes I think this was fixed in #892
I think releasing just this patch is a good idea, otherwise as you say it's impossible to even import skrub
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this should be fixed now, @koaning can you check that if you install the freshly-released version 0.1.1 it works?
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Related Issues (20)
- incorrect github action matrix description
- Failing fetch ken embeddings test HOT 2
- Should accept pipelines and transformers HOT 1
- TableVectorizer raises when a categorical column contains `pd.NA` HOT 1
- Add features to the `DatetimeEncoder` HOT 16
- Hacky Idea: ifelse in a pipeline HOT 10
- `drop_nulls` and `is_null` have a different behavior for polars and pandas HOT 1
- Follow-ups after #902
- GapEncoder and MinHashEncoder modify their input inplace HOT 2
- adding `make_learner` to create a default pipeline for a given predictor
- Shorthand for getting only the preprocessing part of the TableVectorizer HOT 2
- AggJoiner raises exceptions when trying to join multiple tables at once HOT 5
- Faster alternative to GapEncoder HOT 1
- Display columns with the HTML representation of the fitted TableVectorizer
- `fetch_ken_embeddings` does not use `suffix` with default parameter HOT 1
- Ken embeddings RAM and disk usage HOT 2
- `SingleColumnTransformer`s don't work with `ColumnTransformer` HOT 4
- Port from sckikit-learn the positioning of the example buttons on downloading, jupyter-lite...
- Jupyter-lite picks up old versions of the examples? HOT 3
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