Comments (1)
Thank you for spotting this broken URL; I made a PR to fix it. The example should be accessible on the website soon.
Regarding generating these examples, we prefer sticking to our Sphinx methodology: having Python files easily read on GitHub and quickly parsed by Sphinx. When making PRs, notebooks' code differences are challenging to read and often lead to massive line changes.
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Related Issues (20)
- Drop numpy array input support for `TableVectorizer`
- `get_feature_names_out` returns lists instead of numpy arrays HOT 2
- datetimeencoder is very slow HOT 3
- TableVectorizer imputing logic is confusing HOT 5
- 2 ways GapEncoder get_feature_name_out is broken on low entropy data
- cannot run test suite in python3.12 due to warnings filter
- Add "to_datetime" to the narrative documentation
- development status in setup.cfg HOT 1
- Add a "related projects" section in the documentation HOT 1
- Adding a TableVectorizer specialization for HistGradientBoosting HOT 2
- allowing to use a different distance for the nearest neighbors in fuzzy join HOT 1
- Consider casting to float32 by default in TableVectorizer HOT 3
- Handle numerical missing values in TableVectorizer HOT 8
- Basic regression problem raises exception on inference HOT 4
- TableVectoriser's "numerical_transformer" does not accept Pipelines HOT 3
- fetch_ken_types gives same results for many embedding_table_id's HOT 2
- Potential performance issue: .to_dict method slow in pandas below 2.2 HOT 2
- Polars deprecation inbound HOT 4
- InterpolationJoiner - polars HOT 1
- packaging>=23.1 - can it move to dev instead of install_required ? HOT 2
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