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| -rw-r--r-- | src/python/doc/img/sklearn-tda.png | bin | 0 -> 388075 bytes | |||
| -rw-r--r-- | src/python/doc/representations_sum.inc | 2 |
2 files changed, 1 insertions, 1 deletions
diff --git a/src/python/doc/img/sklearn-tda.png b/src/python/doc/img/sklearn-tda.png Binary files differnew file mode 100644 index 00000000..f0ff07f4 --- /dev/null +++ b/src/python/doc/img/sklearn-tda.png diff --git a/src/python/doc/representations_sum.inc b/src/python/doc/representations_sum.inc index 7b167a17..700828f1 100644 --- a/src/python/doc/representations_sum.inc +++ b/src/python/doc/representations_sum.inc @@ -3,7 +3,7 @@ +------------------------------------------------------------------+----------------------------------------------------------------+-----------------------------------------------+ | .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière | - | ../../doc/Persistence_representations/average_landscape.png | diagrams, compatible with scikit-learn. | | + | img/sklearn-tda.png | diagrams, compatible with scikit-learn. | | | | | :Introduced in: GUDHI 3.1.0 | | | | | | | | :Copyright: MIT | |
