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Pushing the docs to 0.4/ for branch: 0.4.X, commit 151be2317a0cb53297…
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dirty-cat-ci committed Nov 27, 2024
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2 changes: 1 addition & 1 deletion 0.4/.buildinfo
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# Sphinx build info version 1
# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 9467b788fd32dacc8670b26fccad7a6d
config: 17e96c066813edaab4b4a0687e164778
tags: 645f666f9bcd5a90fca523b33c5a78b7
194 changes: 103 additions & 91 deletions 0.4/CHANGES.html

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6 changes: 3 additions & 3 deletions 0.4/CONTRIBUTING.html
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<link rel="prev" title="About" href="about.html" />
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<meta name="docsearch:version" content="0.4.dev0" />
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6 changes: 3 additions & 3 deletions 0.4/RELEASE_PROCESS.html
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<script src="_static/documentation_options.js?v=414d5694"></script>
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<script>
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31 changes: 20 additions & 11 deletions 0.4/_sources/CHANGES.rst.txt
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.. currentmodule:: skrub

Ongoing development
===================
Release 0.4.0
=============

Highlights
----------
* The :class:`TextEncoder` can extract embeddings from a string column with a deep
learning language model (possibly downloaded from the HuggingFace Hub).

Skrub is a very recent package.
It is currently undergoing fast development and backward compatibility is not ensured.
* Several improvements to the :class:`TableReport` such as better support for
other scripts than the latin alphabet in the bar plot labels, smaller report
sizes, clipping the outliers to better see the details of distributions in
histograms. See the full changelog for details.

* The :class:`TableVectorizer` can now drop columns that contain a fraction of
null values above a user-chosen threshold.

New features
------------
* The :class:`TextEncoder` is now available to encode string columns with
diverse entries.
It allows the representation of table entries as embeddings computed by a deep
learning language model. The weights of this model can be fetched locally
or from the HuggingFace Hub.
:pr:`1077` by :user:`Vincent Maladiere <Vincent-Maladiere>`.

* The :func:`column_associations` function has been added. It computes a
pairwise measure of statistical dependence between all columns in a dataframe
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Major changes
-------------
* The :class:`TextEncoder` is now available to encode string columns with
diverse entries.
It allows the representation of table entries as embeddings computed by a deep
learning language model. The weights of this model can be fetched locally
or from the HuggingFace Hub.
:pr:`1077` by :user:`Vincent Maladiere <Vincent-Maladiere>`.

* :class:`AggJoiner`, :class:`AggTarget` and :class:`MultiAggJoiner` now require
the `operations` argument. They do not split columns by type anymore, but
apply `operations` on all selected cols. "median" is now supported, "hist" and
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