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2 changes: 1 addition & 1 deletion docs/latest/_sources/auto_examples/plot_01_getting_started.rst.txt
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Expand Up @@ -792,7 +792,7 @@ project, such as grid search or cross-validation results.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 6.140 seconds)
**Total running time of the script:** (0 minutes 7.155 seconds)


.. _sphx_glr_download_auto_examples_plot_01_getting_started.py:
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58 changes: 29 additions & 29 deletions docs/latest/_sources/auto_examples/plot_02_overview_skore_ui.rst.txt
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Expand Up @@ -459,9 +459,9 @@ Numpy array:
.. code-block:: none
array([[-0.45279793, 0.55451844, -1.06675894],
[ 0.50826404, 1.89978163, 0.8085373 ],
[-1.2010927 , 0.03846556, 0.00782061]])
array([[-1.31226173, -0.51377242, 1.43696895],
[ 0.59008701, 0.27721509, 0.87085756],
[ 0.2923231 , -0.70647644, -1.37546362]])
Expand Down Expand Up @@ -513,43 +513,43 @@ Pandas data frame:
<tbody>
<tr>
<th>0</th>
<td>0.181988</td>
<td>-0.296962</td>
<td>0.250592</td>
<td>-0.141918</td>
<td>0.163869</td>
<td>1.758881</td>
<td>-0.232958</td>
<td>-0.034090</td>
<td>-0.181024</td>
<td>-0.020530</td>
</tr>
<tr>
<th>1</th>
<td>-0.719715</td>
<td>0.924959</td>
<td>1.685182</td>
<td>-0.749829</td>
<td>0.798433</td>
<td>0.709874</td>
<td>0.376033</td>
<td>-0.191165</td>
<td>-1.283826</td>
<td>0.274595</td>
</tr>
<tr>
<th>2</th>
<td>-1.283646</td>
<td>0.149526</td>
<td>0.025373</td>
<td>0.417901</td>
<td>-0.141121</td>
<td>0.206991</td>
<td>-1.579865</td>
<td>-0.163668</td>
<td>-1.728073</td>
<td>-0.147436</td>
</tr>
<tr>
<th>3</th>
<td>0.585707</td>
<td>0.325785</td>
<td>1.533222</td>
<td>-0.964006</td>
<td>-0.397607</td>
<td>0.379173</td>
<td>-1.487810</td>
<td>0.354293</td>
<td>-0.256288</td>
<td>-0.350852</td>
</tr>
<tr>
<th>4</th>
<td>-0.163528</td>
<td>0.216870</td>
<td>-0.873101</td>
<td>1.187909</td>
<td>0.994774</td>
<td>-0.397813</td>
<td>-0.580413</td>
<td>-1.842860</td>
<td>-0.488077</td>
<td>-1.153653</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -2025,7 +2025,7 @@ Moreover, you can store fitted scikit-learn pipelines:

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.379 seconds)
**Total running time of the script:** (0 minutes 1.450 seconds)


.. _sphx_glr_download_auto_examples_plot_02_overview_skore_ui.py:
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6 changes: 3 additions & 3 deletions docs/latest/_sources/auto_examples/plot_03_cross_validate.rst.txt
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2 changes: 1 addition & 1 deletion docs/latest/auto_examples/plot_01_getting_started.html
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Expand Up @@ -1090,7 +1090,7 @@ <h2>Manipulating the skore UI<a class="headerlink" href="#manipulating-the-skore
<li><p>In the skore UI on the right, you can drag-and-drop items to re-order them, remove items, etc.</p></li>
</ol>
<img alt="Getting started with ``skore`` demo" src="https://raw.githubusercontent.com/sylvaincom/sylvaincom.github.io/master/files/probabl/skore/2024_10_30_skore_demo.gif" />
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 6.140 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.155 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-01-getting-started-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../_downloads/e97c5b0c37bdd66afd2a201f006613dd/plot_01_getting_started.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_01_getting_started.ipynb</span></code></a></p>
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58 changes: 29 additions & 29 deletions docs/latest/auto_examples/plot_02_overview_skore_ui.html
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Expand Up @@ -624,9 +624,9 @@ <h2>Storing many kinds of data<a class="headerlink" href="#storing-many-kinds-of
<span class="n">my_arr</span>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array([[-0.45279793, 0.55451844, -1.06675894],
[ 0.50826404, 1.89978163, 0.8085373 ],
[-1.2010927 , 0.03846556, 0.00782061]])
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array([[-1.31226173, -0.51377242, 1.43696895],
[ 0.59008701, 0.27721509, 0.87085756],
[ 0.2923231 , -0.70647644, -1.37546362]])
</pre></div>
</div>
<p>Pandas data frame:</p>
Expand Down Expand Up @@ -664,43 +664,43 @@ <h2>Storing many kinds of data<a class="headerlink" href="#storing-many-kinds-of
<tbody>
<tr>
<th>0</th>
<td>0.181988</td>
<td>-0.296962</td>
<td>0.250592</td>
<td>-0.141918</td>
<td>0.163869</td>
<td>1.758881</td>
<td>-0.232958</td>
<td>-0.034090</td>
<td>-0.181024</td>
<td>-0.020530</td>
</tr>
<tr>
<th>1</th>
<td>-0.719715</td>
<td>0.924959</td>
<td>1.685182</td>
<td>-0.749829</td>
<td>0.798433</td>
<td>0.709874</td>
<td>0.376033</td>
<td>-0.191165</td>
<td>-1.283826</td>
<td>0.274595</td>
</tr>
<tr>
<th>2</th>
<td>-1.283646</td>
<td>0.149526</td>
<td>0.025373</td>
<td>0.417901</td>
<td>-0.141121</td>
<td>0.206991</td>
<td>-1.579865</td>
<td>-0.163668</td>
<td>-1.728073</td>
<td>-0.147436</td>
</tr>
<tr>
<th>3</th>
<td>0.585707</td>
<td>0.325785</td>
<td>1.533222</td>
<td>-0.964006</td>
<td>-0.397607</td>
<td>0.379173</td>
<td>-1.487810</td>
<td>0.354293</td>
<td>-0.256288</td>
<td>-0.350852</td>
</tr>
<tr>
<th>4</th>
<td>-0.163528</td>
<td>0.216870</td>
<td>-0.873101</td>
<td>1.187909</td>
<td>0.994774</td>
<td>-0.397813</td>
<td>-0.580413</td>
<td>-1.842860</td>
<td>-0.488077</td>
<td>-1.153653</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -2051,7 +2051,7 @@ <h2>Storing scikit-learn models and pipelines<a class="headerlink" href="#storin
(&#x27;lasso&#x27;, Lasso(alpha=2))])</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-19" type="checkbox" ><label for="sk-estimator-id-19" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;StandardScaler<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.StandardScaler.html">?<span>Documentation for StandardScaler</span></a></label><div class="sk-toggleable__content fitted"><pre>StandardScaler()</pre></div> </div></div><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-20" type="checkbox" ><label for="sk-estimator-id-20" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;Lasso<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.Lasso.html">?<span>Documentation for Lasso</span></a></label><div class="sk-toggleable__content fitted"><pre>Lasso(alpha=2)</pre></div> </div></div></div></div></div></div>
</div>
<br />
<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.379 seconds)</p>
<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.450 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-02-overview-skore-ui-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../_downloads/e7cbd7f6fc2c2626a6c20bf80bc30ea7/plot_02_overview_skore_ui.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_02_overview_skore_ui.ipynb</span></code></a></p>
Expand Down
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