:orphan: Gallery of examples =================== Basic Examples ---------------- This gallery consists of introductory examples and examples demonstrating specific features of MRCpy library. .. raw:: html
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_1_example_mrc_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_1_example_mrc.py` .. raw:: html
Example: Use of MRC with different settings
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_2_example_cmrc_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_2_example_cmrc.py` .. raw:: html
Example: Use of CMRC with different settings
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_3_example_amrc_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_3_example_amrc.py` .. raw:: html
Example: Use of AMRC (Adaptative MRC) for Online Learning
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_4_example_dwgcs_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_4_example_dwgcs.py` .. raw:: html
Example: Use of DWGCS (Double-Weighting General Covariate Shift) for Covariate Shift Adaptation
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.. toctree:: :hidden: /auto_examples/plot_1_example_mrc /auto_examples/plot_2_example_cmrc /auto_examples/plot_3_example_amrc /auto_examples/plot_4_example_dwgcs Further applications -------------------- This gallery contains examples that illustrate further applications of MRCpy library and its features. .. raw:: html
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_feature_extraction_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_feature_extraction.py` .. raw:: html
MRCs with Deep Neural Networks: Part I
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_plot_1_image_classification_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_plot_1_image_classification.py` .. raw:: html
MRCs with Deep Neural Networks: Part II
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_plot_2_grid_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_plot_2_grid.py` .. raw:: html
Hyperparameter Tuning: Upper Bound vs Cross-Validation
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_plot_3_comparison_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_plot_3_comparison.py` .. raw:: html
Example: Comparison to other methods
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_plot_4_upperLower_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_plot_4_upperLower.py` .. raw:: html
Example: Use of Upper and Lower bound as error estimation
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.. only:: html .. image:: /auto_examples/further_examples/images/thumb/sphx_glr_z_COVID_thumb.png :alt: :ref:`sphx_glr_auto_examples_further_examples_z_COVID.py` .. raw:: html
Example: Predicting COVID-19 patients outcome using MRCs
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.. toctree:: :hidden: :includehidden: /auto_examples/further_examples/index.rst .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: auto_examples_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_