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-rw-r--r--src/python/gudhi/wasserstein/barycenter.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/python/gudhi/wasserstein/barycenter.py b/src/python/gudhi/wasserstein/barycenter.py
index d67bcde7..bb6e641e 100644
--- a/src/python/gudhi/wasserstein/barycenter.py
+++ b/src/python/gudhi/wasserstein/barycenter.py
@@ -37,7 +37,7 @@ def lagrangian_barycenter(pdiagset, init=None, verbose=False):
:param init: The initial value for barycenter estimate.
If ``None``, init is made on a random diagram from the dataset.
Otherwise, it can be an ``int`` (then initialization is made on ``pdiagset[init]``)
- or a `(n x 2)` ``numpy.array`` enconding a persistence diagram with `n` points.
+ or a `(n x 2)` ``numpy.array`` encoding a persistence diagram with `n` points.
:type init: ``int``, or (n x 2) ``np.array``
:param verbose: if ``True``, returns additional information about the barycenter.
:type verbose: boolean
@@ -45,7 +45,7 @@ def lagrangian_barycenter(pdiagset, init=None, verbose=False):
(local minimum of the energy function).
If ``pdiagset`` is empty, returns ``None``.
If verbose, returns a couple ``(Y, log)`` where ``Y`` is the barycenter estimate,
- and ``log`` is a ``dict`` that contains additional informations:
+ and ``log`` is a ``dict`` that contains additional information:
- `"groupings"`, a list of list of pairs ``(i,j)``. 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.
@@ -73,7 +73,7 @@ def lagrangian_barycenter(pdiagset, init=None, verbose=False):
nb_iter = 0
- converged = False # stoping criterion
+ converged = False # stopping criterion
while not converged:
nb_iter += 1
K = len(Y) # current nb of points in Y (some might be on diagonal)