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-rw-r--r--examples/plot_compute_emd.py4
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)