update example with rst titles

1 files changed, 52 insertions, 53 deletions

diff --git a/docs/source/auto_examples/plot_otda_mapping.rst b/docs/source/auto_examples/plot_otda_mapping.rst
index 088da31..ddc1ee9 100644
--- a/docs/source/auto_examples/plot_otda_mapping.rst
+++ b/docs/source/auto_examples/plot_otda_mapping.rst
@@ -3,13 +3,13 @@
 .. _sphx_glr_auto_examples_plot_otda_mapping.py:
 
 
-===============================================
-OT mapping estimation for domain adaptation [8]
-===============================================
+===========================================
+OT mapping estimation for domain adaptation
+===========================================
 
 This example presents how to use MappingTransport to estimate at the same
 time both the coupling transport and approximate the transport map with either
-a linear or a kernelized mapping as introduced in [8]
+a linear or a kernelized mapping as introduced in [8].
 
 [8] M. Perrot, N. Courty, R. Flamary, A. Habrard,
     "Mapping estimation for discrete optimal transport",
@@ -36,7 +36,7 @@ a linear or a kernelized mapping as introduced in [8]
 
 
 
-generate data
+Generate data
 #############################################################################
 
 
@@ -66,6 +66,30 @@ generate data
 
 
 
+Plot data
+#############################################################################
+
+
+
+.. code-block:: python
+
+
+    pl.figure(1, (10, 5))
+    pl.clf()
+    pl.scatter(Xs[:, 0], Xs[:, 1], c=ys, marker='+', label='Source samples')
+    pl.scatter(Xt[:, 0], Xt[:, 1], c=yt, marker='o', label='Target samples')
+    pl.legend(loc=0)
+    pl.title('Source and target distributions')
+
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_otda_mapping_001.png
+    :align: center
+
+
+
 
 Instantiate the different transport algorithms and fit them
 #############################################################################
@@ -112,54 +136,29 @@ Instantiate the different transport algorithms and fit them
 
     It.  |Loss        |Delta loss
     --------------------------------
-        0|4.273804e+03|0.000000e+00
-        1|4.264510e+03|-2.174580e-03
-        2|4.264209e+03|-7.047095e-05
-        3|4.264078e+03|-3.069822e-05
-        4|4.264018e+03|-1.412924e-05
-        5|4.263961e+03|-1.341165e-05
-        6|4.263946e+03|-3.586522e-06
+        0|4.481482e+03|0.000000e+00
+        1|4.469389e+03|-2.698549e-03
+        2|4.468825e+03|-1.261217e-04
+        3|4.468580e+03|-5.486064e-05
+        4|4.468438e+03|-3.161220e-05
+        5|4.468352e+03|-1.930800e-05
+        6|4.468309e+03|-9.570658e-06
     It.  |Loss        |Delta loss
     --------------------------------
-        0|4.294523e+02|0.000000e+00
-        1|4.247737e+02|-1.089443e-02
-        2|4.245516e+02|-5.228765e-04
-        3|4.244430e+02|-2.557417e-04
-        4|4.243724e+02|-1.663904e-04
-        5|4.243196e+02|-1.244111e-04
-        6|4.242808e+02|-9.132500e-05
-        7|4.242497e+02|-7.331710e-05
-        8|4.242271e+02|-5.326612e-05
-        9|4.242063e+02|-4.916026e-05
-       10|4.241906e+02|-3.699617e-05
-
-
-plot data
-#############################################################################
-
-
-
-.. code-block:: python
-
-
-    pl.figure(1, (10, 5))
-    pl.clf()
-    pl.scatter(Xs[:, 0], Xs[:, 1], c=ys, marker='+', label='Source samples')
-    pl.scatter(Xt[:, 0], Xt[:, 1], c=yt, marker='o', label='Target samples')
-    pl.legend(loc=0)
-    pl.title('Source and target distributions')
-
-
-
-
-
-.. image:: /auto_examples/images/sphx_glr_plot_otda_mapping_001.png
-    :align: center
-
-
-
-
-plot transported samples
+        0|4.504654e+02|0.000000e+00
+        1|4.461571e+02|-9.564116e-03
+        2|4.459105e+02|-5.528043e-04
+        3|4.457895e+02|-2.712398e-04
+        4|4.457041e+02|-1.914829e-04
+        5|4.456431e+02|-1.369704e-04
+        6|4.456032e+02|-8.944784e-05
+        7|4.455700e+02|-7.447824e-05
+        8|4.455447e+02|-5.688965e-05
+        9|4.455229e+02|-4.890051e-05
+       10|4.455084e+02|-3.262490e-05
+
+
+Plot transported samples
 #############################################################################
 
 
@@ -209,7 +208,7 @@ plot transported samples
 
 
 
-**Total running time of the script:** ( 0 minutes  0.853 seconds)
+**Total running time of the script:** ( 0 minutes  0.869 seconds)
 
 
 
@@ -228,4 +227,4 @@ plot transported samples
 
 .. rst-class:: sphx-glr-signature
 
-    `Generated by Sphinx-Gallery <http://sphinx-gallery.readthedocs.io>`_
+    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_