[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

1 files changed, 0 insertions, 334 deletions

diff --git a/docs/source/auto_examples/plot_otda_mapping_colors_images.rst b/docs/source/auto_examples/plot_otda_mapping_colors_images.rst
deleted file mode 100644
index 26664e3..0000000
--- a/docs/source/auto_examples/plot_otda_mapping_colors_images.rst
+++ /dev/null
@@ -1,334 +0,0 @@
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_auto_examples_plot_otda_mapping_colors_images.py>`     to download the full example code
-    .. rst-class:: sphx-glr-example-title
-
-    .. _sphx_glr_auto_examples_plot_otda_mapping_colors_images.py:
-
-
-=====================================================
-OT for image color adaptation with mapping estimation
-=====================================================
-
-OT for domain adaptation with image color adaptation [6] with mapping
-estimation [8].
-
-[6] Ferradans, S., Papadakis, N., Peyre, G., & Aujol, J. F. (2014). Regularized
-    discrete optimal transport. SIAM Journal on Imaging Sciences, 7(3),
-    1853-1882.
-[8] M. Perrot, N. Courty, R. Flamary, A. Habrard, "Mapping estimation for
-    discrete optimal transport", Neural Information Processing Systems (NIPS),
-    2016.
-
-
-
-.. code-block:: default
-
-
-    # Authors: Remi Flamary <remi.flamary@unice.fr>
-    #          Stanislas Chambon <stan.chambon@gmail.com>
-    #
-    # License: MIT License
-
-    import numpy as np
-    import matplotlib.pylab as pl
-    import ot
-
-    r = np.random.RandomState(42)
-
-
-    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)
-
-
-
-
-
-
-
-
-
-Generate data
--------------
-
-
-.. code-block:: default
-
-
-    # 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)
-
-    # training samples
-    nb = 1000
-    idx1 = r.randint(X1.shape[0], size=(nb,))
-    idx2 = r.randint(X2.shape[0], size=(nb,))
-
-    Xs = X1[idx1, :]
-    Xt = X2[idx2, :]
-
-
-
-
-
-
-
-
-
-Domain adaptation for pixel distribution transfer
--------------------------------------------------
-
-
-.. code-block:: default
-
-
-    # EMDTransport
-    ot_emd = ot.da.EMDTransport()
-    ot_emd.fit(Xs=Xs, Xt=Xt)
-    transp_Xs_emd = ot_emd.transform(Xs=X1)
-    Image_emd = minmax(mat2im(transp_Xs_emd, I1.shape))
-
-    # SinkhornTransport
-    ot_sinkhorn = ot.da.SinkhornTransport(reg_e=1e-1)
-    ot_sinkhorn.fit(Xs=Xs, Xt=Xt)
-    transp_Xs_sinkhorn = ot_sinkhorn.transform(Xs=X1)
-    Image_sinkhorn = minmax(mat2im(transp_Xs_sinkhorn, I1.shape))
-
-    ot_mapping_linear = ot.da.MappingTransport(
-        mu=1e0, eta=1e-8, bias=True, max_iter=20, verbose=True)
-    ot_mapping_linear.fit(Xs=Xs, Xt=Xt)
-
-    X1tl = ot_mapping_linear.transform(Xs=X1)
-    Image_mapping_linear = minmax(mat2im(X1tl, I1.shape))
-
-    ot_mapping_gaussian = ot.da.MappingTransport(
-        mu=1e0, eta=1e-2, sigma=1, bias=False, max_iter=10, verbose=True)
-    ot_mapping_gaussian.fit(Xs=Xs, Xt=Xt)
-
-    X1tn = ot_mapping_gaussian.transform(Xs=X1)  # use the estimated mapping
-    Image_mapping_gaussian = minmax(mat2im(X1tn, I1.shape))
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    It.  |Loss        |Delta loss
-    --------------------------------
-        0|3.680534e+02|0.000000e+00
-        1|3.592501e+02|-2.391854e-02
-        2|3.590682e+02|-5.061555e-04
-        3|3.589745e+02|-2.610227e-04
-        4|3.589167e+02|-1.611644e-04
-        5|3.588768e+02|-1.109242e-04
-        6|3.588482e+02|-7.972733e-05
-        7|3.588261e+02|-6.166174e-05
-        8|3.588086e+02|-4.871697e-05
-        9|3.587946e+02|-3.919056e-05
-       10|3.587830e+02|-3.228124e-05
-       11|3.587731e+02|-2.744744e-05
-       12|3.587648e+02|-2.334451e-05
-       13|3.587576e+02|-1.995629e-05
-       14|3.587513e+02|-1.761058e-05
-       15|3.587457e+02|-1.542568e-05
-       16|3.587408e+02|-1.366315e-05
-       17|3.587365e+02|-1.221732e-05
-       18|3.587325e+02|-1.102488e-05
-       19|3.587303e+02|-6.062107e-06
-    It.  |Loss        |Delta loss
-    --------------------------------
-        0|3.784871e+02|0.000000e+00
-        1|3.646491e+02|-3.656142e-02
-        2|3.642975e+02|-9.642655e-04
-        3|3.641626e+02|-3.702413e-04
-        4|3.640888e+02|-2.026301e-04
-        5|3.640419e+02|-1.289607e-04
-        6|3.640097e+02|-8.831646e-05
-        7|3.639861e+02|-6.487612e-05
-        8|3.639679e+02|-4.994063e-05
-        9|3.639536e+02|-3.941436e-05
-       10|3.639419e+02|-3.209753e-05
-
-
-
-
-Plot original images
---------------------
-
-
-.. code-block:: default
-
-
-    pl.figure(1, figsize=(6.4, 3))
-    pl.subplot(1, 2, 1)
-    pl.imshow(I1)
-    pl.axis('off')
-    pl.title('Image 1')
-
-    pl.subplot(1, 2, 2)
-    pl.imshow(I2)
-    pl.axis('off')
-    pl.title('Image 2')
-    pl.tight_layout()
-
-
-
-
-
-.. image:: /auto_examples/images/sphx_glr_plot_otda_mapping_colors_images_001.png
-    :class: sphx-glr-single-img
-
-
-
-
-
-Plot pixel values distribution
-------------------------------
-
-
-.. code-block:: default
-
-
-    pl.figure(2, figsize=(6.4, 5))
-
-    pl.subplot(1, 2, 1)
-    pl.scatter(Xs[:, 0], Xs[:, 2], c=Xs)
-    pl.axis([0, 1, 0, 1])
-    pl.xlabel('Red')
-    pl.ylabel('Blue')
-    pl.title('Image 1')
-
-    pl.subplot(1, 2, 2)
-    pl.scatter(Xt[:, 0], Xt[:, 2], c=Xt)
-    pl.axis([0, 1, 0, 1])
-    pl.xlabel('Red')
-    pl.ylabel('Blue')
-    pl.title('Image 2')
-    pl.tight_layout()
-
-
-
-
-
-.. image:: /auto_examples/images/sphx_glr_plot_otda_mapping_colors_images_002.png
-    :class: sphx-glr-single-img
-
-
-
-
-
-Plot transformed images
------------------------
-
-
-.. code-block:: default
-
-
-    pl.figure(2, figsize=(10, 5))
-
-    pl.subplot(2, 3, 1)
-    pl.imshow(I1)
-    pl.axis('off')
-    pl.title('Im. 1')
-
-    pl.subplot(2, 3, 4)
-    pl.imshow(I2)
-    pl.axis('off')
-    pl.title('Im. 2')
-
-    pl.subplot(2, 3, 2)
-    pl.imshow(Image_emd)
-    pl.axis('off')
-    pl.title('EmdTransport')
-
-    pl.subplot(2, 3, 5)
-    pl.imshow(Image_sinkhorn)
-    pl.axis('off')
-    pl.title('SinkhornTransport')
-
-    pl.subplot(2, 3, 3)
-    pl.imshow(Image_mapping_linear)
-    pl.axis('off')
-    pl.title('MappingTransport (linear)')
-
-    pl.subplot(2, 3, 6)
-    pl.imshow(Image_mapping_gaussian)
-    pl.axis('off')
-    pl.title('MappingTransport (gaussian)')
-    pl.tight_layout()
-
-    pl.show()
-
-
-
-.. image:: /auto_examples/images/sphx_glr_plot_otda_mapping_colors_images_003.png
-    :class: sphx-glr-single-img
-
-
-.. rst-class:: sphx-glr-script-out
-
- Out:
-
- .. code-block:: none
-
-    /home/rflamary/PYTHON/POT/examples/plot_otda_mapping_colors_images.py:173: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
-      pl.show()
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 2 minutes  24.007 seconds)
-
-
-.. _sphx_glr_download_auto_examples_plot_otda_mapping_colors_images.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_mapping_colors_images.py <plot_otda_mapping_colors_images.py>`
-
-
-
-  .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-     :download:`Download Jupyter notebook: plot_otda_mapping_colors_images.ipynb <plot_otda_mapping_colors_images.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_