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| author | Oleksii Kachaiev <kachayev@gmail.com> | 2023-05-03 10:36:09 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-03 10:36:09 +0200 |
| commit | 2aeb591be6b19a93f187516495ed15f1a47be925 (patch) | |
| tree | 9a6f759856a3f6b2d7c6db3514927ba3e5af10b5 /examples/plot_compute_emd.py | |
| parent | 8a7035bdaa5bb164d1c16febbd83650d1fb6d393 (diff) | |
[DOC] Corrected spelling errors (#467)
* Fix typos in docstrings and examples
* A few more fixes
* Fix ref for `center_ot_dual` function
* Another typo
* Fix titles formatting
* Explicit empty line after math blocks
* Typo: asymmetric
* Fix code cell formatting for 1D barycenters
* Empirical
* Fix indentation for references
* Fixed all WARNINGs about title formatting
* Fix empty lines after math blocks
* Fix whitespace line
* Update changelog
* Consistent Gromov-Wasserstein
* More Gromov-Wasserstein consistency
---------
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Diffstat (limited to 'examples/plot_compute_emd.py')
| -rw-r--r-- | examples/plot_compute_emd.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/plot_compute_emd.py b/examples/plot_compute_emd.py index 36cc7da..32d63e8 100644 --- a/examples/plot_compute_emd.py +++ b/examples/plot_compute_emd.py @@ -4,7 +4,7 @@ OT distances in 1D ================== -Shows how to compute multiple Wassersein and Sinkhorn with two different +Shows how to compute multiple Wasserstein and Sinkhorn with two different ground metrics and plot their values for different distributions. @@ -76,7 +76,7 @@ pl.tight_layout() #%% Compute and plot distributions and loss matrix d_emd = ot.emd2(a, B, M) # direct computation of OT loss -d_emd2 = ot.emd2(a, B, M2) # direct computation of OT loss with metrixc M2 +d_emd2 = ot.emd2(a, B, M2) # direct computation of OT loss with metric M2 d_tv = [np.sum(abs(a - B[:, i])) for i in range(n_target)] pl.figure(2) |