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| author | Rémi Flamary <remi.flamary@gmail.com> | 2017-07-11 12:06:45 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2017-07-11 12:06:45 +0200 |
| commit | 31aa5ac90122e3bc396400709b39b4ffcd326978 (patch) | |
| tree | 05303a03bcb3349d4d9d7b7c61bde5acfd82bb00 /ot/gpu/da.py | |
| parent | 4efdda7853ab7c0eab17b947e28e416f2b16dc51 (diff) | |
update doc gpu fixes
Diffstat (limited to 'ot/gpu/da.py')
| -rw-r--r-- | ot/gpu/da.py | 9 |
1 files changed, 0 insertions, 9 deletions
diff --git a/ot/gpu/da.py b/ot/gpu/da.py index 8dece1d..0fbfa34 100644 --- a/ot/gpu/da.py +++ b/ot/gpu/da.py @@ -181,15 +181,6 @@ def sinkhorn_lpl1_mm(a, labels_a, b, M_GPU, reg, eta=0.1, numItermax=10, class OTDA_GPU(OTDA): def normalizeM(self, norm): - """ Apply normalization to the loss matrix - - - Parameters - ---------- - norm : str - type of normalization from 'median','max','log','loglog' - - """ if norm == "median": self.M_GPU.divide(float(np.median(self.M_GPU.asarray()))) elif norm == "max": |