.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples\4_testing\plot_1_weakspot_reg.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_4_testing_plot_1_weakspot_reg.py>`
        to download the full example code or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_4_testing_plot_1_weakspot_reg.py:


WeakSpot: Regression
=====================================

.. GENERATED FROM PYTHON SOURCE LINES 8-9

Experiment initialization and data preparation

.. GENERATED FROM PYTHON SOURCE LINES 9-17

.. code-block:: default

    from piml import Experiment
    from piml.models import XGB2Regressor

    exp = Experiment()
    exp.data_loader(data="BikeSharing", silent=True)
    exp.data_summary(feature_exclude=["yr", "mnth", "temp"], silent=True)
    exp.data_prepare(target="cnt", task_type="regression", silent=True)








.. GENERATED FROM PYTHON SOURCE LINES 18-19

Train Model

.. GENERATED FROM PYTHON SOURCE LINES 19-20

.. code-block:: default

    exp.model_train(model=XGB2Regressor(), name="XGB2")







.. GENERATED FROM PYTHON SOURCE LINES 21-22

Histogram-based weakspot for a single feature

.. GENERATED FROM PYTHON SOURCE LINES 22-26

.. code-block:: default

    results = exp.model_diagnose(model="XGB2", show="weakspot", slice_method="histogram", 
                                 slice_features=["hr"], threshold=1.1, min_samples=100,
                                 return_data=True, figsize=(5, 4))
    results.data



.. image-sg:: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_001.png
   :alt: Weak Regions
   :srcset: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_001.png
   :class: sphx-glr-single-img



.. raw:: html

    <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>[hr</th>
          <th>hr)</th>
          <th>#Test</th>
          <th>#Train</th>
          <th>test_MSE</th>
          <th>train_MSE</th>
          <th>Gap</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>0.3</td>
          <td>0.4</td>
          <td>445</td>
          <td>1736</td>
          <td>0.0219</td>
          <td>0.0197</td>
          <td>0.0022</td>
        </tr>
        <tr>
          <th>1</th>
          <td>0.7</td>
          <td>0.8</td>
          <td>290</td>
          <td>1168</td>
          <td>0.0307</td>
          <td>0.0304</td>
          <td>0.0003</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 27-28

Histogram-based weakspot for two features

.. GENERATED FROM PYTHON SOURCE LINES 28-33

.. code-block:: default

    results = exp.model_diagnose(model="XGB2", show="weakspot", slice_method="histogram", 
                                 slice_features=["hr", "workingday"], threshold=1.1, min_samples=100,
                                 return_data=True, figsize=(5, 4))
    results.data




.. image-sg:: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_002.png
   :alt: Weak Regions
   :srcset: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_002.png
   :class: sphx-glr-single-img



.. raw:: html

    <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>[hr</th>
          <th>hr)</th>
          <th>[workingday</th>
          <th>workingday)</th>
          <th>#Test</th>
          <th>#Train</th>
          <th>test_MSE</th>
          <th>train_MSE</th>
          <th>Gap</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>0.3</td>
          <td>0.4</td>
          <td>0.0</td>
          <td>1.0</td>
          <td>445</td>
          <td>1736</td>
          <td>0.0219</td>
          <td>0.0197</td>
          <td>2.2042e-03</td>
        </tr>
        <tr>
          <th>1</th>
          <td>0.5</td>
          <td>0.6</td>
          <td>0.0</td>
          <td>0.5</td>
          <td>85</td>
          <td>377</td>
          <td>0.0219</td>
          <td>0.0207</td>
          <td>1.1186e-03</td>
        </tr>
        <tr>
          <th>2</th>
          <td>0.7</td>
          <td>0.8</td>
          <td>0.0</td>
          <td>1.0</td>
          <td>290</td>
          <td>1168</td>
          <td>0.0307</td>
          <td>0.0304</td>
          <td>3.0630e-04</td>
        </tr>
        <tr>
          <th>3</th>
          <td>0.6</td>
          <td>0.7</td>
          <td>0.0</td>
          <td>0.5</td>
          <td>155</td>
          <td>538</td>
          <td>0.0159</td>
          <td>0.0158</td>
          <td>9.2337e-05</td>
        </tr>
        <tr>
          <th>4</th>
          <td>0.4</td>
          <td>0.5</td>
          <td>0.0</td>
          <td>0.5</td>
          <td>97</td>
          <td>365</td>
          <td>0.0103</td>
          <td>0.0110</td>
          <td>-6.7680e-04</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 34-35

Histogram-based weakspot for a single feature on test set

.. GENERATED FROM PYTHON SOURCE LINES 35-39

.. code-block:: default

    results = exp.model_diagnose(model="XGB2", show="weakspot", slice_method="histogram", 
                                 slice_features=["hr"], threshold=1.1, min_samples=100,
                                 use_test=True, return_data=True, figsize=(5, 4))
    results.data



.. image-sg:: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_003.png
   :alt: Weak Regions
   :srcset: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_003.png
   :class: sphx-glr-single-img



.. raw:: html

    <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>[hr</th>
          <th>hr)</th>
          <th>#Test</th>
          <th>#Train</th>
          <th>test_MSE</th>
          <th>train_MSE</th>
          <th>Gap</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>0.3</td>
          <td>0.4</td>
          <td>445</td>
          <td>1736</td>
          <td>0.0219</td>
          <td>0.0197</td>
          <td>0.0022</td>
        </tr>
        <tr>
          <th>1</th>
          <td>0.7</td>
          <td>0.8</td>
          <td>290</td>
          <td>1168</td>
          <td>0.0307</td>
          <td>0.0304</td>
          <td>0.0003</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 40-41

Histogram-based weakspot for a single feature using MAE metric

.. GENERATED FROM PYTHON SOURCE LINES 41-46

.. code-block:: default

    results = exp.model_diagnose(model="XGB2", show="weakspot", slice_method="histogram", 
                                 slice_features=["hr"], threshold=1.1, min_samples=100,
                                 metric="MAE", return_data=True, figsize=(5, 4))
    results.data




.. image-sg:: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_004.png
   :alt: Weak Regions
   :srcset: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_004.png
   :class: sphx-glr-single-img



.. raw:: html

    <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>[hr</th>
          <th>hr)</th>
          <th>#Test</th>
          <th>#Train</th>
          <th>test_MAE</th>
          <th>train_MAE</th>
          <th>Gap</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>0.3</td>
          <td>0.4</td>
          <td>445</td>
          <td>1736</td>
          <td>0.1163</td>
          <td>0.1106</td>
          <td>0.0058</td>
        </tr>
        <tr>
          <th>1</th>
          <td>0.6</td>
          <td>0.8</td>
          <td>735</td>
          <td>2911</td>
          <td>0.1046</td>
          <td>0.1031</td>
          <td>0.0015</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 47-48

Tree-based weakspot for a single feature using MAE metric

.. GENERATED FROM PYTHON SOURCE LINES 48-52

.. code-block:: default

    results = exp.model_diagnose(model="XGB2", show="weakspot", slice_method="tree", 
                                 slice_features=["hr"], threshold=1.1, min_samples=100,
                                 metric="MAE", return_data=True, figsize=(5, 4))
    results.data



.. image-sg:: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_005.png
   :alt: Weak Regions
   :srcset: /auto_examples/4_testing/images/sphx_glr_plot_1_weakspot_reg_005.png
   :class: sphx-glr-single-img



.. raw:: html

    <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>[hr</th>
          <th>hr)</th>
          <th>#Test</th>
          <th>#Train</th>
          <th>test_MAE</th>
          <th>train_MAE</th>
          <th>Gap</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>0.2826</td>
          <td>0.3696</td>
          <td>283</td>
          <td>1171</td>
          <td>0.1495</td>
          <td>0.1352</td>
          <td>0.0143</td>
        </tr>
        <tr>
          <th>1</th>
          <td>0.3696</td>
          <td>1.0000</td>
          <td>2214</td>
          <td>8710</td>
          <td>0.0749</td>
          <td>0.0747</td>
          <td>0.0002</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />


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

   **Total running time of the script:** ( 0 minutes  56.209 seconds)

**Estimated memory usage:**  22 MB


.. _sphx_glr_download_auto_examples_4_testing_plot_1_weakspot_reg.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/selfexplainml/piml-toolbox/main?urlpath=lab/tree/./docs/_build/html/notebooks/auto_examples/4_testing/plot_1_weakspot_reg.ipynb
        :alt: Launch binder
        :width: 150 px



    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_1_weakspot_reg.py <plot_1_weakspot_reg.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_1_weakspot_reg.ipynb <plot_1_weakspot_reg.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_