.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot/plot_human_activity.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 .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_plot_human_activity.py: Human Activity Recognition Visualization ========================================== .. GENERATED FROM PYTHON SOURCE LINES 5-14 .. rst-class:: sphx-glr-horizontal * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_human_activity_001.png :alt: Target distribution :srcset: /auto_examples/plot/images/sphx_glr_plot_human_activity_001.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_human_activity_002.png :alt: F=5.08E+04, F=4.63E+04, F=4.44E+04, F=4.12E+04, F=4.04E+04, F=3.75E+04, F=3.26E+04, F=3.25E+04, F=3.22E+04, F=3.13E+04 :srcset: /auto_examples/plot/images/sphx_glr_plot_human_activity_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_human_activity_003.png :alt: Top feature interactions, 0.685, 0.684, 0.683, 0.682 :srcset: /auto_examples/plot/images/sphx_glr_plot_human_activity_003.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_human_activity_004.png :alt: Discriminating PCA directions, 0.645, 0.630, 0.568, Scree plot (PCA explained variance) :srcset: /auto_examples/plot/images/sphx_glr_plot_human_activity_004.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_human_activity_005.png :alt: Discriminating LDA directions, 0.863, 0.829, 0.806, 0.785 :srcset: /auto_examples/plot/images/sphx_glr_plot_human_activity_005.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out .. code-block:: none Target looks like classification /home/circleci/project/~/miniconda/envs/testenv/lib/python3.11/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning. grouped_vals = vals.groupby(grouper) Showing only top 10 of 561 continuous features /home/circleci/project/dabl/plot/utils.py:607: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning. for name, group in data.groupby(target)[column]: Linear Discriminant Analysis training set score: 0.984 | .. code-block:: Python # sphinx_gallery_thumbnail_number = 3 import matplotlib.pyplot as plt from sklearn.datasets import fetch_openml from dabl import plot X, y = fetch_openml('har', as_frame=True, return_X_y=True) plot(X, y) plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 17.796 seconds) .. _sphx_glr_download_auto_examples_plot_plot_human_activity.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_human_activity.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_human_activity.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_