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| author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2020-05-11 08:42:40 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-05-11 08:42:40 +0200 |
| commit | 627772e4c5bc7038b0814182dbb918b08356c892 (patch) | |
| tree | 024c05fd1d7199b0c76af4c6f68f025b762854cf | |
| parent | 484732c8ad30721ba4fa596bcb8a3835ad3bc431 (diff) | |
Fixed by @tlacombe
Co-authored-by: Théo Lacombe <lacombe1993@gmail.com>
| -rw-r--r-- | src/python/gudhi/wasserstein/barycenter.py | 5 |
1 files changed, 1 insertions, 4 deletions
diff --git a/src/python/gudhi/wasserstein/barycenter.py b/src/python/gudhi/wasserstein/barycenter.py index 1cf8edb3..7eeeae7a 100644 --- a/src/python/gudhi/wasserstein/barycenter.py +++ b/src/python/gudhi/wasserstein/barycenter.py @@ -52,9 +52,7 @@ def lagrangian_barycenter(pdiagset, init=None, verbose=False): Namely, ``G[k] = [...(i, j)...]``, where ``(i,j)`` indicates that ``pdiagset[k][i]`` is matched to ``Y[j]`` if ``i = -1`` or ``j = -1``, it means they represent the diagonal. - - `"energy"`, ``float`` representing the Frechet energy value obtained. - - It is the mean of squared distances of observations to the output. + - `"energy"`, ``float`` representing the Frechet energy value obtained. It is the mean of squared distances of observations to the output. - `"nb_iter"`, ``int`` number of iterations performed before convergence of the algorithm. ''' @@ -149,4 +147,3 @@ def lagrangian_barycenter(pdiagset, init=None, verbose=False): return Y, log else: return Y - |