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| author | Marc Glisse <marc.glisse@inria.fr> | 2020-06-03 23:43:10 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-06-03 23:43:10 +0200 |
| commit | 0990208f63c4fdc142c64b8043395bf32bd34a15 (patch) | |
| tree | 5556f756c53153d311deeb2448d87ee9f62c764e /src/python/doc | |
| parent | 08d5ceba364225fb26ad683ef0be9c0c8a52b826 (diff) | |
| parent | 96f14e32f9b2230a6204f300488b0aad04a676a1 (diff) | |
Merge pull request #338 from mglisse/parrep
Parallelism in pairwise_distances
Diffstat (limited to 'src/python/doc')
| -rw-r--r-- | src/python/doc/installation.rst | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/src/python/doc/installation.rst b/src/python/doc/installation.rst index de09c5b3..a66e910e 100644 --- a/src/python/doc/installation.rst +++ b/src/python/doc/installation.rst @@ -260,6 +260,13 @@ a flag `enable_autodiff=True` is used). In order to reduce code duplication, we use `EagerPy <https://eagerpy.jonasrauber.de/>`_ which wraps arrays from PyTorch, TensorFlow and JAX in a common interface. +Joblib +------ + +`Joblib <https://joblib.readthedocs.io/>`_ is used both as a dependency of `Scikit-learn`_, +and directly for parallelism in some modules (:class:`~gudhi.point_cloud.knn.KNearestNeighbors`, +:func:`~gudhi.representations.metrics.pairwise_persistence_diagram_distances`). + Hnswlib ------- |