diff options
| author | Marc Glisse <marc.glisse@inria.fr> | 2020-05-26 11:42:51 +0200 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2020-05-26 11:42:51 +0200 |
| commit | 5a78dc70afe172e8f38bff09639be21fc92b1fb4 (patch) | |
| tree | bc335146c3eca7a9440ae9038083ec0b6619f66d /src/python/gudhi/clustering | |
| parent | c2cfdc79fb30bb467565cf16cee8bd8f241cb061 (diff) | |
license
Diffstat (limited to 'src/python/gudhi/clustering')
| -rw-r--r-- | src/python/gudhi/clustering/_tomato.cc | 11 | ||||
| -rw-r--r-- | src/python/gudhi/clustering/tomato.py | 10 |
2 files changed, 19 insertions, 2 deletions
diff --git a/src/python/gudhi/clustering/_tomato.cc b/src/python/gudhi/clustering/_tomato.cc index 638e1259..ce01834a 100644 --- a/src/python/gudhi/clustering/_tomato.cc +++ b/src/python/gudhi/clustering/_tomato.cc @@ -1,4 +1,13 @@ -// g++ -O3 -Wall -shared -fPIC `python3 -m pybind11 --includes` XXX.cpp -o tomato`python3-config --extension-suffix` +/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT. + * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details. + * Author(s): Marc Glisse + * + * Copyright (C) 2020 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + #include <boost/container/flat_map.hpp> #include <boost/pending/disjoint_sets.hpp> #include <boost/property_map/property_map.hpp> diff --git a/src/python/gudhi/clustering/tomato.py b/src/python/gudhi/clustering/tomato.py index 901a9399..29642662 100644 --- a/src/python/gudhi/clustering/tomato.py +++ b/src/python/gudhi/clustering/tomato.py @@ -1,10 +1,18 @@ +# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT. +# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details. +# Author(s): Marc Glisse +# +# Copyright (C) 2020 Inria +# +# Modification(s): +# - YYYY/MM Author: Description of the modification + import numpy from ..point_cloud.knn import KNearestNeighbors from ..point_cloud.dtm import DTMDensity from ._tomato import * # The fit/predict interface is not so well suited... -# FIXME: choose if they are called weight, density, filtration, etc and be consistent. class Tomato: |