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| author | Rémi Flamary <remi.flamary@gmail.com> | 2020-01-30 08:04:36 +0100 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2020-01-30 08:04:36 +0100 |
| commit | f65073faa73b36280a19ff8b9c383e66f8bdbd2b (patch) | |
| tree | e786f1ec744bbf28928ac72bb705f172b04a4562 /ot/lp/emd_wrap.pyx | |
| parent | 9a9b3547837eac56349ce8df92bb5b0565daa2d6 (diff) | |
comlete documentation
Diffstat (limited to 'ot/lp/emd_wrap.pyx')
| -rw-r--r-- | ot/lp/emd_wrap.pyx | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/ot/lp/emd_wrap.pyx b/ot/lp/emd_wrap.pyx index a4987f4..d345fd4 100644 --- a/ot/lp/emd_wrap.pyx +++ b/ot/lp/emd_wrap.pyx @@ -66,6 +66,12 @@ def emd_c(np.ndarray[double, ndim=1, mode="c"] a, np.ndarray[double, ndim=1, mod .. warning:: Note that the M matrix needs to be a C-order :py.cls:`numpy.array` + .. warning:: + The C++ solver discards all samples in the distributions with + zeros weights. This means that while the primal variable (transport + matrix) is exact, the solver only returns feasible dual potentials + on the samples with weights different from zero. + Parameters ---------- a : (ns,) numpy.ndarray, float64 |