diff --git a/docs/conf.py b/docs/conf.py index 77f098c..fabe6f2 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -18,11 +18,11 @@ # -- Project information ----------------------------------------------------- project = 'package "data-depth"' -copyright = '2024, Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Arturo Castellanos Salinas' -author = 'Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Arturo Castellanos Salinas' +copyright = '2024, Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Sibsankar Singha, Arturo Castellanos Salinas' +author = 'Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Sibsankar Singha, Arturo Castellanos Salinas' # The full version, including alpha/beta/rc tags -release = '1.1.3.0' +release = '1.2.1.1' # -- General configuration --------------------------------------------------- diff --git a/docs/credits.rst b/docs/credits.rst index 2dfeb65..2c03b90 100644 --- a/docs/credits.rst +++ b/docs/credits.rst @@ -15,6 +15,7 @@ Contributors * Oleksii Pokotylo, * Romain Valla, * Leonardo Leone, +* Sibsankar Singha, * Arturo Castellanos Salinas, * Pierre-Antoine Amiand Leroy, (on behalf of Hi! Paris) * Amine Yamoul, (on behalf of Hi! Paris) @@ -22,3 +23,4 @@ Contributors * Contribution of the Starting Grant (JCJC) of the French National Research Agency (ANR ) in the category Artificial Intelligence (CE23) is greatly acknowledged (grant number ANR-21-CE23-0029-01). * The support of the National Association for Research in Technology (ANRT) (CIFRE grant number 2021/1739) is gratefully acknowledged. * Contribution of the Research Chair "Digital Finance" under the aegis of the Risk Foundation is greatly acknowledged. +* Contribution of the Research and Teaching Chair of Telecom Paris "Artificial Intelligence For Industry" (AI4I) is greatly acknowledged. diff --git a/docs/introduction.rst b/docs/introduction.rst index 7ebe3a2..d23ca8a 100644 --- a/docs/introduction.rst +++ b/docs/introduction.rst @@ -43,7 +43,7 @@ Examples can be found in - :ref:`depth-examples `. The mentioned below Installation ------------ -data-depth can be directly installed using **pip**: +The `\texttt{data-depth}` library can be directly installed using **pip**: .. code:: bash diff --git a/pyproject.toml b/pyproject.toml index 48527bd..faf4119 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ authors = [ maintainers = [ {name = "Pavlo Mozharovskyi", email = "pavlo.mozharovskyi@telecom-paris.fr"} ] -version="1.1.3.0" +version="1.2.1.1" description="The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth" readme="README.md" dependencies=[ diff --git a/setup.py b/setup.py index 75d62ab..3e9e4f2 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def build_extensions(self): if sys.platform=='darwin' or sys.platform=='linux': setup( # name="data_depth", - # version="1.1.3.0", + # version="1.2.1.1", # author="Pavlo Mozharovskyi", # author_email="pavlo.mozharovskyi@telecom-paris.fr", # description="The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth",