Merge pull request #160 from PythonOT/doc_cov

[MRG] Update documentation and improve coverage

1 files changed, 0 insertions, 30 deletions

diff --git a/ot/__init__.py b/ot/__init__.py
index 1e57b78..2d23610 100644
--- a/ot/__init__.py
+++ b/ot/__init__.py
@@ -1,35 +1,5 @@
 """
 
-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`