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authortlacombe <lacombe1993@gmail.com>2020-03-31 12:53:42 +0200
committertlacombe <lacombe1993@gmail.com>2020-03-31 12:53:42 +0200
commite6c21aa957bbf66854f31824cd4313c61f7ea9fc (patch)
tree091c246f585e5836a2b1868414227d3d12938eaa /src/python/doc/representations_sum.inc
parentdae83f0907a5bd94cb483ad0f54755da2d49fb75 (diff)
parent2f46606b406aafc69e37a68dca33e1858ab7b817 (diff)
merged master
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diff --git a/src/python/doc/representations_sum.inc b/src/python/doc/representations_sum.inc
index 700828f1..eac89b9d 100644
--- a/src/python/doc/representations_sum.inc
+++ b/src/python/doc/representations_sum.inc
@@ -1,12 +1,12 @@
.. table::
- :widths: 30 50 20
+ :widths: 30 40 30
+------------------------------------------------------------------+----------------------------------------------------------------+-----------------------------------------------+
| .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière |
| img/sklearn-tda.png | diagrams, compatible with scikit-learn. | |
- | | | :Introduced in: GUDHI 3.1.0 |
+ | | | :Since: GUDHI 3.1.0 |
| | | |
- | | | :Copyright: MIT |
+ | | | :License: MIT |
| | | |
| | | :Requires: scikit-learn |
+------------------------------------------------------------------+----------------------------------------------------------------+-----------------------------------------------+