From a303cc6b483d3cd958c399621e22e40574bcbbc8 Mon Sep 17 00:00:00 2001 From: Rémi Flamary Date: Tue, 21 Apr 2020 17:48:37 +0200 Subject: [MRG] Actually run sphinx-gallery (#146) * generate gallery * remove mock * add sklearn to requirermnt?txt for example * remove latex from fgw example * add networks for graph example * remove all * add requirement.txt rtd * rtd debug * update readme * eradthedoc with redirection * add conf rtd --- .../auto_examples/plot_otda_linear_mapping.rst | 295 --------------------- 1 file changed, 295 deletions(-) delete mode 100644 docs/source/auto_examples/plot_otda_linear_mapping.rst (limited to 'docs/source/auto_examples/plot_otda_linear_mapping.rst') diff --git a/docs/source/auto_examples/plot_otda_linear_mapping.rst b/docs/source/auto_examples/plot_otda_linear_mapping.rst deleted file mode 100644 index 63848d2..0000000 --- a/docs/source/auto_examples/plot_otda_linear_mapping.rst +++ /dev/null @@ -1,295 +0,0 @@ -.. only:: html - - .. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code - .. rst-class:: sphx-glr-example-title - - .. _sphx_glr_auto_examples_plot_otda_linear_mapping.py: - - -============================ -Linear OT mapping estimation -============================ - - - - -.. code-block:: default - - - # Author: Remi Flamary - # - # License: MIT License - - import numpy as np - import pylab as pl - import ot - - - - - - - - -Generate data -------------- - - -.. code-block:: default - - - n = 1000 - d = 2 - sigma = .1 - - # source samples - angles = np.random.rand(n, 1) * 2 * np.pi - xs = np.concatenate((np.sin(angles), np.cos(angles)), - axis=1) + sigma * np.random.randn(n, 2) - xs[:n // 2, 1] += 2 - - - # target samples - anglet = np.random.rand(n, 1) * 2 * np.pi - xt = np.concatenate((np.sin(anglet), np.cos(anglet)), - axis=1) + sigma * np.random.randn(n, 2) - xt[:n // 2, 1] += 2 - - - A = np.array([[1.5, .7], [.7, 1.5]]) - b = np.array([[4, 2]]) - xt = xt.dot(A) + b - - - - - - - - -Plot data ---------- - - -.. code-block:: default - - - pl.figure(1, (5, 5)) - pl.plot(xs[:, 0], xs[:, 1], '+') - pl.plot(xt[:, 0], xt[:, 1], 'o') - - - - - -.. image:: /auto_examples/images/sphx_glr_plot_otda_linear_mapping_001.png - :class: sphx-glr-single-img - - -.. rst-class:: sphx-glr-script-out - - Out: - - .. code-block:: none - - - [] - - - -Estimate linear mapping and transport -------------------------------------- - - -.. code-block:: default - - - Ae, be = ot.da.OT_mapping_linear(xs, xt) - - xst = xs.dot(Ae) + be - - - - - - - - - -Plot transported samples ------------------------- - - -.. code-block:: default - - - pl.figure(1, (5, 5)) - pl.clf() - pl.plot(xs[:, 0], xs[:, 1], '+') - pl.plot(xt[:, 0], xt[:, 1], 'o') - pl.plot(xst[:, 0], xst[:, 1], '+') - - pl.show() - - - - -.. image:: /auto_examples/images/sphx_glr_plot_otda_linear_mapping_002.png - :class: sphx-glr-single-img - - -.. rst-class:: sphx-glr-script-out - - Out: - - .. code-block:: none - - /home/rflamary/PYTHON/POT/examples/plot_otda_linear_mapping.py:73: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. - pl.show() - - - - -Load image data ---------------- - - -.. code-block:: default - - - - def im2mat(I): - """Converts and image to matrix (one pixel per line)""" - return I.reshape((I.shape[0] * I.shape[1], I.shape[2])) - - - def mat2im(X, shape): - """Converts back a matrix to an image""" - return X.reshape(shape) - - - def minmax(I): - return np.clip(I, 0, 1) - - - # Loading images - I1 = pl.imread('../data/ocean_day.jpg').astype(np.float64) / 256 - I2 = pl.imread('../data/ocean_sunset.jpg').astype(np.float64) / 256 - - - X1 = im2mat(I1) - X2 = im2mat(I2) - - - - - - - - -Estimate mapping and adapt ----------------------------- - - -.. code-block:: default - - - mapping = ot.da.LinearTransport() - - mapping.fit(Xs=X1, Xt=X2) - - - xst = mapping.transform(Xs=X1) - xts = mapping.inverse_transform(Xt=X2) - - I1t = minmax(mat2im(xst, I1.shape)) - I2t = minmax(mat2im(xts, I2.shape)) - - - - - - - - -Plot transformed images ------------------------ - - -.. code-block:: default - - - pl.figure(2, figsize=(10, 7)) - - pl.subplot(2, 2, 1) - pl.imshow(I1) - pl.axis('off') - pl.title('Im. 1') - - pl.subplot(2, 2, 2) - pl.imshow(I2) - pl.axis('off') - pl.title('Im. 2') - - pl.subplot(2, 2, 3) - pl.imshow(I1t) - pl.axis('off') - pl.title('Mapping Im. 1') - - pl.subplot(2, 2, 4) - pl.imshow(I2t) - pl.axis('off') - pl.title('Inverse mapping Im. 2') - - - -.. image:: /auto_examples/images/sphx_glr_plot_otda_linear_mapping_003.png - :class: sphx-glr-single-img - - -.. rst-class:: sphx-glr-script-out - - Out: - - .. code-block:: none - - - Text(0.5, 1.0, 'Inverse mapping Im. 2') - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 0.787 seconds) - - -.. _sphx_glr_download_auto_examples_plot_otda_linear_mapping.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download sphx-glr-download-python - - :download:`Download Python source code: plot_otda_linear_mapping.py ` - - - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: plot_otda_linear_mapping.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ -- cgit v1.2.3