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authorRĂ©mi Flamary <remi.flamary@gmail.com>2020-05-05 10:28:03 +0200
committerGitHub <noreply@github.com>2020-05-05 10:28:03 +0200
commit94d5c8cc9046854f473d8e4526a3bcf214eb5411 (patch)
tree27c620db19e2a01b229f59dda3bdaa65ecac5307 /ot/lp/__init__.py
parent0497d888884bf1749b7bb944a3f717baff35528e (diff)
parent20e10a6db35a567d2cc6d75ad659c7473d82d3a7 (diff)
Merge pull request #167 from PythonOT/doc_v0.7
[WIP] Reproducible example WDA and remove dense from doc
Diffstat (limited to 'ot/lp/__init__.py')
-rw-r--r--ot/lp/__init__.py4
1 files changed, 0 insertions, 4 deletions
diff --git a/ot/lp/__init__.py b/ot/lp/__init__.py
index 50003ed..514a607 100644
--- a/ot/lp/__init__.py
+++ b/ot/lp/__init__.py
@@ -327,10 +327,6 @@ def emd2(a, b, M, processes=multiprocessing.cpu_count(),
variables. Otherwise returns only the optimal transportation cost.
return_matrix: boolean, optional (default=False)
If True, returns the optimal transportation matrix in the log.
- dense: boolean, optional (default=True)
- If True, returns math:`\gamma` as a dense ndarray of shape (ns, nt).
- Otherwise returns a sparse representation using scipy's `coo_matrix`
- format.
center_dual: boolean, optional (default=True)
If True, centers the dual potential using function
:ref:`center_ot_dual`.