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author | Gard Spreemann <gspr@nonempty.org> | 2023-01-20 13:47:30 +0100 |
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committer | Gard Spreemann <gspr@nonempty.org> | 2023-01-20 13:47:30 +0100 |
commit | 688cbc5c29d0a6aaf233eee185a06cef5cb2e745 (patch) | |
tree | cb13b84e9f7cddea48b903d24014f63d1dfda7e3 /src/python/doc/representations_sum.inc | |
parent | 2b3caf86fc6500a9fca9e9085012a2315fbbac3b (diff) | |
parent | ed492f09ca3c9d7cd972bbbbec37f680cd624fbe (diff) |
Merge tag 'tags/gudhi-release-3.7.1' into dfsg/latestdfsg/latest
Diffstat (limited to 'src/python/doc/representations_sum.inc')
-rw-r--r-- | src/python/doc/representations_sum.inc | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/src/python/doc/representations_sum.inc b/src/python/doc/representations_sum.inc index 4298aea9..9515f044 100644 --- a/src/python/doc/representations_sum.inc +++ b/src/python/doc/representations_sum.inc @@ -1,14 +1,14 @@ .. table:: :widths: 30 40 30 - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière, Martin Royer | - | img/sklearn-tda.png | diagrams, compatible with scikit-learn. | | - | | | :Since: GUDHI 3.1.0 | - | | | | - | | | :License: MIT | - | | | | - | | | :Requires: `Scikit-learn <installation.html#scikit-learn>`_ | - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | * :doc:`representations` | - +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------+ + +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------------------+ + | .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière, Martin Royer, Gard Spreemann, Wojciech Reise | + | img/sklearn-tda.png | diagrams, compatible with scikit-learn. | | + | | | :Since: GUDHI 3.1.0 | + | | | | + | | | :License: MIT | + | | | | + | | | :Requires: `Scikit-learn <installation.html#scikit-learn>`_ | + +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------------------+ + | * :doc:`representations` | + +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------+ |