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v1.1.1 docs
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VicentePerezSoloviev committed Jun 28, 2023
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4 changes: 2 additions & 2 deletions EDAspy.egg-info/PKG-INFO
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Metadata-Version: 2.1
Name: EDAspy
Version: 1.1.0
Version: 1.1.1
Summary: EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons.
Home-page: https://github.com/VicentePerezSoloviev/EDAspy
Author: Vicente P. Soloviev
Author-email: vicente.perez.soloviev@gmail.com
License: MIT
Download-URL: https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.0.tar.gz
Download-URL: https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.1.tar.gz
Description: # <img src='https://raw.githubusercontent.com/VicentePerezSoloviev/EDAspy/master/Logo%20EDAspy.png' align="right" height="150"/>

[![PyPI](https://img.shields.io/pypi/v/edaspy)](https://pypi.python.org/pypi/EDAspy/)
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1 change: 1 addition & 0 deletions EDAspy.egg-info/SOURCES.txt
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Expand Up @@ -49,6 +49,7 @@ tests/test_emna.py
tests/test_gbn.py
tests/test_geninit.py
tests/test_kdebn.py
tests/test_keda.py
tests/test_multivariate_keda.py
tests/test_pm.py
tests/test_spbn.py
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3 changes: 0 additions & 3 deletions EDAspy.egg-info/requires.txt

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2 changes: 1 addition & 1 deletion EDAspy/__init__.py
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# __init__.py

__version__ = '1.1.0'
__version__ = '1.1.1'
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2 changes: 1 addition & 1 deletion docs/_build/html/_sources/changelog.rst.txt
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Changelog
*********

v1.1.0
v1.1.1
======

- This version implements the SPEDA algorithm to allow dependencies between variables that fit Gaussian distributions and KDE nodes.
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6 changes: 3 additions & 3 deletions docs/_build/html/changelog.html
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<li class="toctree-l1"><a class="reference internal" href="introduction.html">EDAspy</a></li>
<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">Changelog</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#v1-1-0">v1.1.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="#v1-1-1">v1.1.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="#v1-0-2">v1.0.2</a></li>
<li class="toctree-l2"><a class="reference internal" href="#v1-0-1">v1.0.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="#v1-0-0">v1.0.0</a></li>
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<section id="changelog">
<h1>Changelog<a class="headerlink" href="#changelog" title="Permalink to this headline"></a></h1>
<section id="v1-1-0">
<h2>v1.1.0<a class="headerlink" href="#v1-1-0" title="Permalink to this headline"></a></h2>
<section id="v1-1-1">
<h2>v1.1.1<a class="headerlink" href="#v1-1-1" title="Permalink to this headline"></a></h2>
<ul class="simple">
<li><p>This version implements the SPEDA algorithm to allow dependencies between variables that fit Gaussian distributions and KDE nodes.</p></li>
<li><p>This version implements the multivariate version of KEDA, which shares all the characteristics with the SPEDA approach, with the exception that all the nodes have to be estimated with KDE. Gaussian nodes are forbidden.</p></li>
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2 changes: 1 addition & 1 deletion docs/_build/html/index.html
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Expand Up @@ -98,7 +98,7 @@ <h1>Welcome to EDAspy’s documentation!<a class="headerlink" href="#welcome-to-
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="changelog.html">Changelog</a><ul>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#v1-1-0">v1.1.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#v1-1-1">v1.1.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#v1-0-2">v1.0.2</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#v1-0-1">v1.0.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#v1-0-0">v1.0.0</a></li>
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2 changes: 1 addition & 1 deletion docs/changelog.rst
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Changelog
*********

v1.1.0
v1.1.1
======

- This version implements the SPEDA algorithm to allow dependencies between variables that fit Gaussian distributions and KDE nodes.
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4 changes: 2 additions & 2 deletions setup.py
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with open("README.md", "r") as fh:
long_description = fh.read()

__version__ = '1.1.0' # also defined in EDAspy/__init__.py
__version__ = '1.1.1' # also defined in EDAspy/__init__.py

setuptools.setup(
name="EDAspy",
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"modules so new research can be easily developed. It also has several benchmarks for comparisons.",
long_description=long_description,
long_description_content_type="text/markdown",
download_url="https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.0.tar.gz",
download_url="https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.1.tar.gz",
url="https://github.com/VicentePerezSoloviev/EDAspy",
packages=setuptools.find_packages(),
classifiers=[
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