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| <div class="doctest highlight-default notranslate"> | ||
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| <div class="highlight hl-ipython3"> | ||
| <pre><span></span><span class="kn">from</span> <span class="nn">skrub</span> <span class="kn">import</span> <span class="n">GapEncoder</span> | ||
| <span class="n">gap</span> <span class="o">=</span> <span class="n">GapEncoder</span><span class="p">()</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="s2">"employee_position_title"</span><span class="p">])</span> | ||
| <span class="n">encoded_labels</span> <span class="o">=</span> <span class="n">gap</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="s2">"employee_position_title"</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">())</span> | ||
| <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">encoded_labels</span><span class="p">)</span></pre> | ||
| </div> | ||
| </div> |
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| <div class="doctest highlight-default notranslate"> | ||
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| <div class="highlight hl-ipython3"> | ||
| <pre><span></span><span class="kn">from</span> <span class="nn">skrub</span> <span class="kn">import</span> <span class="n">TableReport</span> | ||
| <span class="n">TableReport</span><span class="p">(df)</pre> | ||
| </div> | ||
| </div> |
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| <div class="container-fluid" style="max-width: 58rem;"> | ||
| <div class="sd-card card-landing"> | ||
| <div class="card-body"> | ||
| <details> | ||
| <summary>Given, a complex dataframe | ||
| <code class="docutils literal notranslate"><span | ||
| class="pre">df</span></code>: <i>(expand for full code)</i></summary> | ||
| <div class="doctest highlight-default notranslate"> | ||
| <div class="highlight"> | ||
| <pre style="overflow-x: auto;"> | ||
| <span class="kn">from</span> <span class="nn">skrub.datasets</span> <span class="kn">import</span> <span class="n">fetch_employee_salaries</span> | ||
| <span class="n">dataset</span> <span class="o">=</span> <span class="n">fetch_employee_salaries</span><span class="p">()</span> | ||
| <span class="n">df</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">X</span> | ||
| <span class="n">y</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">y</span> | ||
| <span class="n">df</span></pre> | ||
| </div> | ||
| </div> | ||
| </details> | ||
| <div class="output_subarea output_html rendered_html output_result"> | ||
| <div> | ||
| <style scoped=""> | ||
| .dataframe tbody tr th:only-of-type { | ||
| vertical-align: middle; | ||
| } | ||
|
|
||
| .dataframe tbody tr th { | ||
| vertical-align: top; | ||
| } | ||
|
|
||
| .dataframe thead th { | ||
| text-align: right; | ||
| } | ||
| </style> | ||
| <table border="1" class="dataframe"> | ||
| <thead> | ||
| <tr style="text-align: right;"> | ||
| <th></th> | ||
| <th>gender</th> | ||
| <th>department</th> | ||
| <th>department_name</th> | ||
| <th>division</th> | ||
| <th>assignment_category</th> | ||
| <th>employee_position_title</th> | ||
| <th>date_first_hired</th> | ||
| <th>year_first_hired</th> | ||
| </tr> | ||
| </thead> | ||
| <tbody> | ||
| <tr> | ||
| <th>0</th> | ||
| <td>F</td> | ||
| <td>POL</td> | ||
| <td>Department of Police</td> | ||
| <td>MSB Information Mgmt and...</td> | ||
| <td>Fulltime-Regular</td> | ||
| <td>Office Services Coordinator</td> | ||
| <td>09/22/1986</td> | ||
| <td>1986</td> | ||
| </tr> | ||
| <tr> | ||
| <th>1</th> | ||
| <td>M</td> | ||
| <td>POL</td> | ||
| <td>Department of Police</td> | ||
| <td>ISB Major Crimes...</td> | ||
| <td>Fulltime-Regular</td> | ||
| <td>Master Police Officer</td> | ||
| <td>09/12/1988</td> | ||
| <td>1988</td> | ||
| </tr> | ||
| <tr> | ||
| <th>...</th> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| <td>...</td> | ||
| </tr> | ||
| <tr> | ||
| <th>9226</th> | ||
| <td>M</td> | ||
| <td>CCL</td> | ||
| <td>County Council</td> | ||
| <td>Council Central Staff</td> | ||
| <td>Fulltime-Regular</td> | ||
| <td>Manager II</td> | ||
| <td>09/05/2006</td> | ||
| <td>2006</td> | ||
| </tr> | ||
| <tr> | ||
| <th>9227</th> | ||
| <td>M</td> | ||
| <td>DLC</td> | ||
| <td>Department of Liquor Control</td> | ||
| <td>Licensure, Regulation...</td> | ||
| <td>Fulltime-Regular</td> | ||
| <td>Alcohol/Tobacco Enforcement Specialist II</td> | ||
| <td>01/30/2012</td> | ||
| <td>2012</td> | ||
| </tr> | ||
| </tbody> | ||
| </table> | ||
| </div> | ||
| </div> | ||
| <div class="doctest highlight-default notranslate"> | ||
| <div class="highlight"> | ||
| <pre style="overflow-x: auto;"><span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">cross_val_score</span> | ||
| <span class="kn">from</span> <span class="nn">skrub</span> <span class="kn">import</span> <span class="n">tabular_learner</span> | ||
| <span class="n">cross_val_score</span><span class="p">(</span><span class="n">tabular_learner</span><span class="p">(</span><span class="s1">'regressor'</span><span class="p">),</span> </span><span class="n">df</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span></pre> | ||
| </div> | ||
| </div> | ||
| <pre><span class="sx">array([0.89370447, 0.89279068, 0.92282557, 0.92319094, 0.92162666])</span></pre> | ||
| </div> | ||
| </div> | ||
| </div> |
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