summaryrefslogtreecommitdiff
path: root/ot/unbalanced.py
diff options
context:
space:
mode:
Diffstat (limited to 'ot/unbalanced.py')
-rw-r--r--ot/unbalanced.py9
1 files changed, 5 insertions, 4 deletions
diff --git a/ot/unbalanced.py b/ot/unbalanced.py
index a71a0dd..9584d77 100644
--- a/ot/unbalanced.py
+++ b/ot/unbalanced.py
@@ -121,7 +121,7 @@ def sinkhorn_unbalanced(a, b, M, reg, reg_m, method='sinkhorn', numItermax=1000,
ot.unbalanced.sinkhorn_stabilized_unbalanced:
Unbalanced Stabilized sinkhorn :ref:`[9, 10] <references-sinkhorn-unbalanced>`
ot.unbalanced.sinkhorn_reg_scaling_unbalanced:
- Unbalanced Sinkhorn with epslilon scaling :ref:`[9, 10] <references-sinkhorn-unbalanced>`
+ Unbalanced Sinkhorn with epsilon scaling :ref:`[9, 10] <references-sinkhorn-unbalanced>`
"""
@@ -163,6 +163,7 @@ def sinkhorn_unbalanced2(a, b, M, reg, reg_m, method='sinkhorn',
s.t.
\gamma\geq 0
+
where :
- :math:`\mathbf{M}` is the (`dim_a`, `dim_b`) metric cost matrix
@@ -240,7 +241,7 @@ def sinkhorn_unbalanced2(a, b, M, reg, reg_m, method='sinkhorn',
--------
ot.unbalanced.sinkhorn_knopp : Unbalanced Classic Sinkhorn :ref:`[10] <references-sinkhorn-unbalanced2>`
ot.unbalanced.sinkhorn_stabilized: Unbalanced Stabilized sinkhorn :ref:`[9, 10] <references-sinkhorn-unbalanced2>`
- ot.unbalanced.sinkhorn_reg_scaling: Unbalanced Sinkhorn with epslilon scaling :ref:`[9, 10] <references-sinkhorn-unbalanced2>`
+ ot.unbalanced.sinkhorn_reg_scaling: Unbalanced Sinkhorn with epsilon scaling :ref:`[9, 10] <references-sinkhorn-unbalanced2>`
"""
b = list_to_array(b)
@@ -492,7 +493,7 @@ def sinkhorn_stabilized_unbalanced(a, b, M, reg, reg_m, tau=1e5, numItermax=1000
reg_m: float
Marginal relaxation term > 0
tau : float
- thershold for max value in u or v for log scaling
+ threshold for max value in u or v for log scaling
numItermax : int, optional
Max number of iterations
stopThr : float, optional
@@ -699,7 +700,7 @@ def barycenter_unbalanced_stabilized(A, M, reg, reg_m, weights=None, tau=1e3,
tau : float
Stabilization threshold for log domain absorption.
weights : array-like (n_hists,) optional
- Weight of each distribution (barycentric coodinates)
+ Weight of each distribution (barycentric coordinates)
If None, uniform weights are used.
numItermax : int, optional
Max number of iterations