partial with init

Author: lchapel

ot/__init__.py

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+"""
+
+This is the main module of the POT toolbox. It provides easy access to
+a number of sub-modules and functions described below.
+
+.. note::
+
+
+    Here is a list of the submodules and short description of what they contain.
+
+    - :any:`ot.lp` contains OT solvers for the exact (Linear Program) OT problems.
+    - :any:`ot.bregman` contains OT solvers for the entropic OT problems using
+      Bregman projections.
+    - :any:`ot.lp` contains OT solvers for the exact (Linear Program) OT problems.
+    - :any:`ot.smooth` contains OT solvers for the regularized (l2 and kl) smooth OT
+      problems.
+    - :any:`ot.gromov` contains solvers for Gromov-Wasserstein and Fused Gromov
+      Wasserstein problems.
+    - :any:`ot.optim` contains generic solvers OT based optimization problems
+    - :any:`ot.da` contains classes and function related to Monge mapping
+      estimation and Domain Adaptation (DA).
+    - :any:`ot.gpu` contains GPU (cupy) implementation of some OT solvers
+    - :any:`ot.dr` contains Dimension Reduction (DR) methods such as Wasserstein
+      Discriminant Analysis.
+    - :any:`ot.utils` contains utility functions such as distance computation and
+      timing.
+    - :any:`ot.datasets` contains toy dataset generation functions.
+    - :any:`ot.plot` contains visualization functions
+    - :any:`ot.stochastic` contains stochastic solvers for regularized OT.
+    - :any:`ot.unbalanced` contains solvers for regularized unbalanced OT.
+    - :any:`ot.partial` contains solvers for partial OT.
+
+.. warning::
+    The list of automatically imported sub-modules is as follows:
+    :py:mod:`ot.lp`, :py:mod:`ot.bregman`, :py:mod:`ot.optim`
+    :py:mod:`ot.utils`, :py:mod:`ot.datasets`,
+    :py:mod:`ot.gromov`, :py:mod:`ot.smooth`
+    :py:mod:`ot.stochastic`
+
+    The following sub-modules are not imported due to additional dependencies:
+
+    - :any:`ot.dr` : depends on :code:`pymanopt` and :code:`autograd`.
+    - :any:`ot.gpu` : depends on :code:`cupy` and a CUDA GPU.
+    - :any:`ot.plot` : depends on :code:`matplotlib`
+
+"""
+
+# Author: Remi Flamary <[email protected]>
+#         Nicolas Courty <[email protected]>
+#
+# License: MIT License
+
+
+# All submodules and packages
+from . import lp
+from . import bregman
+from . import optim
+from . import utils
+from . import datasets
+from . import da
+from . import gromov
+from . import smooth
+from . import stochastic
+from . import unbalanced
+from . import partial
+
+# OT functions
+from .lp import emd, emd2, emd_1d, emd2_1d, wasserstein_1d
+from .bregman import sinkhorn, sinkhorn2, barycenter
+from .unbalanced import sinkhorn_unbalanced, barycenter_unbalanced, sinkhorn_unbalanced2
+from .da import sinkhorn_lpl1_mm
+
+# utils functions
+from .utils import dist, unif, tic, toc, toq
+
+__version__ = "0.6.0"
+
+__all__ = ['emd', 'emd2', 'emd_1d', 'sinkhorn', 'sinkhorn2', 'utils', 'datasets',
+           'bregman', 'lp', 'tic', 'toc', 'toq', 'gromov',
+           'emd_1d', 'emd2_1d', 'wasserstein_1d',
+           'dist', 'unif', 'barycenter', 'sinkhorn_lpl1_mm', 'da', 'optim',
+           'sinkhorn_unbalanced', 'barycenter_unbalanced',
+           'sinkhorn_unbalanced2']