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2 changes: 1 addition & 1 deletion 0.3/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 04ec91e57ec82c4ac1de0ff172474294
config: 6b949ad882b164dcc6abb6ac4da3172f
tags: 645f666f9bcd5a90fca523b33c5a78b7
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56 changes: 32 additions & 24 deletions 0.3/RELEASE_PROCESS.html
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<li class="nav-item ">
<a class="nav-link nav-internal" href="install.html">
Installation instructions
Install
</a>
</li>

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<li class="nav-item ">
<a class="nav-link nav-internal" href="reference/index.html">
API reference
API
</a>
</li>

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<a href="https://github.com/skrub-data/skrub/" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-github fa-lg" aria-hidden="true"></i>
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<li class="nav-item ">
<a class="nav-link nav-internal" href="install.html">
Installation instructions
Install
</a>
</li>

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<li class="nav-item ">
<a class="nav-link nav-internal" href="reference/index.html">
API reference
API
</a>
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<a href="https://github.com/skrub-data/skrub/" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-github fa-lg" aria-hidden="true"></i>
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<div class="sidebar-secondary-item">


<div class="tocsection editthispage">
<a href="https://github.com/skrub-data/skrub/edit/main/doc/RELEASE_PROCESS.rst">
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<div class="footer-item">

<p class="sphinx-version">
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.4.7.
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 8.0.2.
<br/>
</p>
</div>
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"cell_type": "markdown",
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"\n# Getting Started\n\nThis guide showcases the features of ``skrub``, an open-source package that aims at\nbridging the gap between tabular data sources and machine-learning models.\n\nMuch of ``skrub`` revolves around vectorizing, assembling, and encoding tabular data,\nto prepare data in a format that shallow or classic machine-learning models understand.\n"
"\n# Getting Started\n\nThis guide showcases the features of ``skrub``, an open-source package that aims at\nbridging the gap between tabular data sources and machine-learning models.\n\n\nMuch of ``skrub`` revolves around vectorizing, assembling, and encoding tabular data,\nto prepare data in a format that shallow or classic machine-learning models understand.\n"
]
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This guide showcases the features of ``skrub``, an open-source package that aims at
bridging the gap between tabular data sources and machine-learning models.
Much of ``skrub`` revolves around vectorizing, assembling, and encoding tabular data,
to prepare data in a format that shallow or classic machine-learning models understand.
"""
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49 changes: 49 additions & 0 deletions 0.3/_sources/CHANGES.rst.txt
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.. currentmodule:: skrub

Release 0.3.1
=============

Minor changes
-------------

* For tree-based models, :func:`tabular_learner` now adds
`handle_unknown='use_encoded_value'` to the `OrdinalEncoder`, to avoid
errors with new categories in the test set. This is consistent with the
setting of `OneHotEncoder` used by default in the
:class:`TableVectorizer`. :pr:`1078` by :user:`Gaël Varoquaux <gaelvaroquaux>`

* The reports created by :class:`TableReport`, when inserted in an html page (or
displayed in a notebook), now use the same font as the surrounding page.
:pr:`1038` by :user:`Jérôme Dockès <jeromedockes>`.

* The content of the dataframe corresponding to the currently selected table
cell in the TableReport can be copied without actually selecting the text (as
in a spreadsheet).
:pr:`1048` by :user:`Jérôme Dockès <jeromedockes>`.

* The selection of content displayed in the TableReport's copy-paste boxes has
been removed. Now they always display the value of the selected item. When
copied, the repr of the selected item is copied to the clipboard.
:pr:`1058` by :user:`Jérôme Dockès <jeromedockes>`.

* A "stats" panel has been added to the TableReport, showing summary statistics
for all columns (number of missing values, mean, etc. -- similar to
``pandas.info()`` ) in a table. It can be sorted by each column.
:pr:`1056` and :pr:`1068` by :user:`Jérôme Dockès <jeromedockes>`.

* Added zero padding for column names in :class:`MinHashEncoder` to improve column ordering consistency.
:pr:`1069` by :user:`Shreekant Nandiyawar <Shree7676>`.

* The selection in the TableReport's sample table can now be manipulated with
the keyboard. :pr:`1065` by :user:`Jérôme Dockès <jeromedockes>`.

* The ``TableReport`` now displays the pandas (multi-)index, and has a better
display & interaction of pandas columns when the columns are a MultiIndex.
:pr:`1083` by :user:`Jérôme Dockès <jeromedockes>`.

* It is possible to control the number of rows displayed by the TableReport in
the "sample" tab panel by specifying ``n_rows``.
:pr:`1083` by :user:`Jérôme Dockès <jeromedockes>`.

* the `TableReport` used to raise an exception when the dataframe contained
unhashable types such as python lists. This has been fixed in :pr:`1087` by
:user:`Jérôme Dockès <jeromedockes>`.

Release 0.3.0
=============

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