diff options
-rw-r--r-- | biblio/how_to_cite_gudhi.bib.in | 2 | ||||
-rw-r--r-- | src/python/doc/representations_sum.inc | 22 |
2 files changed, 12 insertions, 12 deletions
diff --git a/biblio/how_to_cite_gudhi.bib.in b/biblio/how_to_cite_gudhi.bib.in index 71d26a3f..9ddf8405 100644 --- a/biblio/how_to_cite_gudhi.bib.in +++ b/biblio/how_to_cite_gudhi.bib.in @@ -222,7 +222,7 @@ } @incollection{gudhi:PersistenceRepresentationsScikitlearnInterface -, author = "Mathieu Carri\`ere" +, author = "Mathieu Carri\`ere, Gard Spreemann, Wojciech Reise" , title = "Persistence representations scikit-learn like interface" , publisher = "{GUDHI Editorial Board}" , edition = "{@GUDHI_VERSION@}" 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` | + +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------+ |