.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples\3_models\plot_0_glm_reg.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` 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_3_models_plot_0_glm_reg.py: GLM Linear Regression (Bike Sharing) ===================================== .. GENERATED FROM PYTHON SOURCE LINES 7-8 Experiment initialization and data preparation .. GENERATED FROM PYTHON SOURCE LINES 8-16 .. code-block:: default from piml import Experiment from piml.models import GLMRegressor 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 17-18 Train Model .. GENERATED FROM PYTHON SOURCE LINES 18-20 .. code-block:: default exp.model_train(model=GLMRegressor(), name="GLM") .. GENERATED FROM PYTHON SOURCE LINES 21-22 Evaluate predictive performance .. GENERATED FROM PYTHON SOURCE LINES 22-24 .. code-block:: default exp.model_diagnose(model="GLM", show='accuracy_table') .. rst-class:: sphx-glr-script-out .. code-block:: none MSE MAE R2 Train 0.0225 0.1105 0.3467 Test 0.0225 0.1090 0.3593 Gap -0.0000 -0.0015 0.0127 .. GENERATED FROM PYTHON SOURCE LINES 25-26 Regression coefficient plot for numerical features .. GENERATED FROM PYTHON SOURCE LINES 26-28 .. code-block:: default exp.model_interpret(model="GLM", show="glm_coef_plot", figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_001.png :alt: Model Coefficients :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_001.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 29-30 Regression coefficient plot for categorical features .. GENERATED FROM PYTHON SOURCE LINES 30-32 .. code-block:: default exp.model_interpret(model="GLM", show="glm_coef_plot", uni_feature="season", figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_002.png :alt: Model Coefficients :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 33-34 Regression coefficient table for all features .. GENERATED FROM PYTHON SOURCE LINES 34-36 .. code-block:: default exp.model_interpret(model="GLM", show="glm_coef_table") .. GENERATED FROM PYTHON SOURCE LINES 37-38 Feature importance plot .. GENERATED FROM PYTHON SOURCE LINES 38-40 .. code-block:: default exp.model_interpret(model="GLM", show="global_fi", figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_003.png :alt: Feature Importance :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_003.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 41-42 Local interpretation without centering .. GENERATED FROM PYTHON SOURCE LINES 42-44 .. code-block:: default exp.model_interpret(model="GLM", show="local_fi", sample_id=0, centered=False, original_scale=False, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_004.png :alt: Predicted: 0.1058 | Actual: 0.1600 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_004.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 45-46 Local interpretation with original scale of x .. GENERATED FROM PYTHON SOURCE LINES 46-48 .. code-block:: default exp.model_interpret(model="GLM", show='local_fi', sample_id=0, centered=False, original_scale=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_005.png :alt: Predicted: 0.1058 | Actual: 0.1600 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_005.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 49-50 Local interpretation with centering and original scale of x .. GENERATED FROM PYTHON SOURCE LINES 50-53 .. code-block:: default exp.model_interpret(model="GLM", show='local_fi', sample_id=0, centered=True, original_scale=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_006.png :alt: Predicted: 0.1058 | Actual: 0.1600 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_006.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 54-55 Global feature importance based on test data. .. GENERATED FROM PYTHON SOURCE LINES 55-57 .. code-block:: default exp.model_interpret(model="GLM", show="global_fi", use_test=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_007.png :alt: Feature Importance :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_007.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 58-59 Local interpretation for test set data with index 0. .. GENERATED FROM PYTHON SOURCE LINES 59-61 .. code-block:: default exp.model_interpret(model="GLM", show="local_fi", sample_id=0, use_test=True, original_scale=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_008.png :alt: Predicted: 0.1163 | Actual: 0.0062 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_reg_008.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 1 minutes 43.829 seconds) **Estimated memory usage:** 31 MB .. _sphx_glr_download_auto_examples_3_models_plot_0_glm_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/3_models/plot_0_glm_reg.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_0_glm_reg.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_0_glm_reg.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_