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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 /ot/gromov/_utils.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 'ot/gromov/_utils.py')
| -rw-r--r-- | ot/gromov/_utils.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/ot/gromov/_utils.py b/ot/gromov/_utils.py index e842250..ef8cd88 100644 --- a/ot/gromov/_utils.py +++ b/ot/gromov/_utils.py @@ -20,7 +20,7 @@ def init_matrix(C1, C2, p, q, loss_fun='square_loss', nx=None): r"""Return loss matrices and tensors for Gromov-Wasserstein fast computation Returns the value of :math:`\mathcal{L}(\mathbf{C_1}, \mathbf{C_2}) \otimes \mathbf{T}` with the - selected loss function as the loss function of Gromow-Wasserstein discrepancy. + selected loss function as the loss function of Gromov-Wasserstein discrepancy. The matrices are computed as described in Proposition 1 in :ref:`[12] <references-init-matrix>` @@ -195,7 +195,7 @@ def gwloss(constC, hC1, hC2, T, nx=None): Returns ------- loss : float - Gromov Wasserstein loss + Gromov-Wasserstein loss .. _references-gwloss: @@ -235,7 +235,7 @@ def gwggrad(constC, hC1, hC2, T, nx=None): Returns ------- grad : array-like, shape (`ns`, `nt`) - Gromov Wasserstein gradient + Gromov-Wasserstein gradient .. _references-gwggrad: @@ -328,7 +328,7 @@ def init_matrix_semirelaxed(C1, C2, p, loss_fun='square_loss', nx=None): r"""Return loss matrices and tensors for semi-relaxed Gromov-Wasserstein fast computation Returns the value of :math:`\mathcal{L}(\mathbf{C_1}, \mathbf{C_2}) \otimes \mathbf{T}` with the - selected loss function as the loss function of semi-relaxed Gromow-Wasserstein discrepancy. + selected loss function as the loss function of semi-relaxed Gromov-Wasserstein discrepancy. The matrices are computed as described in Proposition 1 in :ref:`[12] <references-init-matrix>` and adapted to the semi-relaxed problem where the second marginal is not a constant anymore. |