change pack name

VicentePerezSoloviev · Jun 10, 2020 · fbda824 · fbda824
1 parent 516d035
commit fbda824
Show file tree

Hide file tree

Showing 16 changed files with 1,657 additions and 143 deletions.
diff --git a/README.md b/README.md
@@ -151,10 +151,10 @@ The EDA returns the best cost, the combination and the history of costs if wante
 ## Getting started
 
 #### Prerequisites
-R must be installed to use the multivariate EDA, with installed libraries c("bnlearn", "dbnR", "data.table")
+R must be installed to use the multivariate EDA with Bayesian networks, with the following installed libraries: c("bnlearn", "dbnR", "data.table")
 To manage R from python, rpy2 package must also be installed.
 
 #### Installing
 ```
-pip install git+https://github.com/vicenteperezsoloviev/EDAspy.git#egg=EDApy
+pip install git+https://github.com/vicenteperezsoloviev/EDAspy.git#egg=EDAspy
 ```
diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
diff --git a/docs/build/doctrees/index.doctree b/docs/build/doctrees/index.doctree
diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3f8bbc54a5f68cb32333a85c91280d12
+config: 9a5f9cb4ba26550d85363ba438d629fe
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/build/html/_modules/EDAspy/optimization/multivariate/EDA_multivariate.html b/docs/build/html/_modules/EDAspy/optimization/multivariate/EDA_multivariate.html
diff --git a/docs/build/html/_modules/EDAspy/optimization/multivariate/EDA_multivariate_gaussian.html b/docs/build/html/_modules/EDAspy/optimization/multivariate/EDA_multivariate_gaussian.html
diff --git a/docs/build/html/_modules/EDAspy/optimization/univariate/continuous.html b/docs/build/html/_modules/EDAspy/optimization/univariate/continuous.html
diff --git a/docs/build/html/_modules/EDAspy/optimization/univariate/discrete.html b/docs/build/html/_modules/EDAspy/optimization/univariate/discrete.html
diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html
@@ -4,7 +4,7 @@
 <html>
   <head>
     <meta charset="utf-8" />
-    <title>Overview: module code &#8212; EDApy 0.0.1 documentation</title>
+    <title>Overview: module code &#8212; EDAspy 0.0.1 documentation</title>
     <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
     <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
     <script id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
@@ -31,12 +31,10 @@
           <div class="body" role="main">
 
   <h1>All modules for which code is available</h1>
-<ul><li><a href="EDApy/optimization/multivariate/EDA_multivariate.html">EDApy.optimization.multivariate.EDA_multivariate</a></li>
-<li><a href="EDApy/optimization/multivariate/EDA_multivariate_gaussian.html">EDApy.optimization.multivariate.EDA_multivariate_gaussian</a></li>
-<li><a href="EDApy/optimization/univariate/continuous.html">EDApy.optimization.univariate.continuous</a></li>
-<li><a href="EDApy/optimization/univariate/discrete.html">EDApy.optimization.univariate.discrete</a></li>
-<li><a href="EDApy/prueba.html">EDApy.prueba</a></li>
-<li><a href="prueba.html">prueba</a></li>
+<ul><li><a href="EDAspy/optimization/multivariate/EDA_multivariate.html">EDAspy.optimization.multivariate.EDA_multivariate</a></li>
+<li><a href="EDAspy/optimization/multivariate/EDA_multivariate_gaussian.html">EDAspy.optimization.multivariate.EDA_multivariate_gaussian</a></li>
+<li><a href="EDAspy/optimization/univariate/continuous.html">EDAspy.optimization.univariate.continuous</a></li>
+<li><a href="EDAspy/optimization/univariate/discrete.html">EDAspy.optimization.univariate.discrete</a></li>
 </ul>
 
           </div>
@@ -45,7 +43,7 @@ <h1>All modules for which code is available</h1>
       </div>
       <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
         <div class="sphinxsidebarwrapper">
-<h1 class="logo"><a href="../index.html">EDApy</a></h1>
+<h1 class="logo"><a href="../index.html">EDAspy</a></h1>
 
 
 

diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt
@@ -1,10 +1,10 @@
-.. EDApy documentation master file, created by
+.. EDAspy documentation master file, created by
    sphinx-quickstart on Fri Jun  5 11:10:49 2020.
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
 *********************************
-EDApy
+EDAspy
 *********************************
 
 .. toctree::
@@ -21,21 +21,23 @@ Indices and tables
 Description of the package
 ##########################
 
-EDApy is a Python package with different Estimation of Distribution algorithms implementations.
+EDAspy is a Python package with different Estimation of Distribution algorithms implementations.
 
    1. Univariate binary EDA. Can be used for feature selection problems.
 
    2. Univariate continuous EDA. Parameter optimization.
 
    3. Multivariate continuous EDA. Complex problems in which dependencies among variables have to be modelled with a probabilistic model such as Gaussian Bayesian networks (in this case)
 
+   4. Multivariate continuous EDA with no evidences. New individuals are sampled from a multivariate gaussian distribution
+
 Easy examples
 #############
 
 Requirements
 ############
 
-To use multivariate continuous EDA R installation is needed, with the following libraries c("bnlearn", "dbnR", "data.table").
+To use multivariate continuous EDA using Bayesian networks, R installation is needed, with the following libraries c("bnlearn", "dbnR", "data.table").
 
 To use both univariate EDAs there is no need to install R.
 
@@ -44,24 +46,24 @@ Documentation for the code
 
 EDA multivariate with evidences
 ********************************
-.. autoclass:: EDApy.optimization.multivariate.EDA_multivariate
-.. autoclass:: EDApy.optimization.multivariate.EDA_multivariate.EDAgbn
+.. autoclass:: EDAspy.optimization.multivariate.EDA_multivariate
+.. autoclass:: EDAspy.optimization.multivariate.EDA_multivariate.EDAgbn
    :members:
 
 EDA multivariate with no evidences
 ***********************************
-.. autoclass:: EDApy.optimization.multivariate.EDA_multivariate_gaussian
-.. autoclass:: EDApy.optimization.multivariate.EDA_multivariate_gaussian.EDA_multivariate_gaussian
+.. autoclass:: EDAspy.optimization.multivariate.EDA_multivariate_gaussian
+.. autoclass:: EDAspy.optimization.multivariate.EDA_multivariate_gaussian.EDA_multivariate_gaussian
    :members:
 
 EDA discrete
 ************
-.. autoclass:: EDApy.optimization.univariate.EDA_discrete
-.. autoclass:: EDApy.optimization.univariate.discrete.UMDAd
+.. autoclass:: EDAspy.optimization.univariate.EDA_discrete
+.. autoclass:: EDAspy.optimization.univariate.discrete.UMDAd
    :members:
 
 EDA continuous
 **************
-.. autoclass:: EDApy.optimization.univariate.EDA_continuous
-.. autoclass:: EDApy.optimization.univariate.continuous.UMDAc
+.. autoclass:: EDAspy.optimization.univariate.EDA_continuous
+.. autoclass:: EDAspy.optimization.univariate.continuous.UMDAc
    :members: