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Updating demo PDFs and version number ahead of new v1.6 distribution

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jlizier 2022-09-05 17:43:14 +10:00
parent d750a737be
commit 72024c7299
8 changed files with 27 additions and 3 deletions
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README.md
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@ -45,6 +45,14 @@ See other [PublicationsUsingThisToolkit](../../wiki/PublicationsUsingThisToolkit
# News # News
_5/09/2022_ - New full distribution files available for **release v1.6**; Changes for v1.6 include:
Adding Flocking/Schooling/Swarming demo;
Included Pedro's code on IIT and O-/S-Information measures;
Spiking TE estimator added from David;
Fixed up AutoAnalyser to work well for Python3 and numpy;
Links to lecture videos included in the beta wiki for the course;
Added rudimentary effective network inference (simplified version of the IDTxl full algorithm) in demos/octave/EffectiveNetworkInference;
_26/11/2018_ - New jar and full distribution files available for **release v1.5**; Changes for v1.5 include: _26/11/2018_ - New jar and full distribution files available for **release v1.5**; Changes for v1.5 include:
Added GPU (cuda) capability for KSG Conditional Mutual Information calculator (proper documentation to come), brief [wiki page](../../wiki/GPU) and unit tests included; Added GPU (cuda) capability for KSG Conditional Mutual Information calculator (proper documentation to come), brief [wiki page](../../wiki/GPU) and unit tests included;
Added auto-embedding for TE/AIS with multivariate KSG, and univariate and multivariate Gaussian estimator (plus unit tests), for Ragwitz criteria and Maximum bias-corrected AIS, and also added Maximum bias corrected AIS and TE to handle source embedding as well; Added auto-embedding for TE/AIS with multivariate KSG, and univariate and multivariate Gaussian estimator (plus unit tests), for Ragwitz criteria and Maximum bias-corrected AIS, and also added Maximum bias corrected AIS and TE to handle source embedding as well;

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build.xml
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@ -5,7 +5,7 @@
</description> </description>
<!-- set global properties for this build --> <!-- set global properties for this build -->
<property name="version" value="1.5"/> <property name="version" value="1.6"/>
<property name="mainfilename" value="infodynamics"/> <property name="mainfilename" value="infodynamics"/>
<property name="jarplainname" value="${mainfilename}.jar" /> <property name="jarplainname" value="${mainfilename}.jar" />
<property name="jarversiondistnamezip" value="${mainfilename}-jar-${version}.zip" /> <property name="jarversiondistnamezip" value="${mainfilename}-jar-${version}.zip" />

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course/README-Course.pdf Normal file
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demos/AutoAnalyser/README-AutoAnalyserDemo.pdf
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demos/octave/FlockingAnalysis/README-Flocking.pdf
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demos/python/README-UseInPython.pdf
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readme-template.txt
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@ -1,7 +1,9 @@
Java Information Dynamics Toolkit (JIDT) Java Information Dynamics Toolkit (JIDT)
Copyright (C) 2012-2014 Joseph T. Lizier Copyright (C) 2012-2014 Joseph T. Lizier
Copyright (C) 2014-2016 Joseph T. Lizier and Ipek Özdemir Copyright (C) 2014-2016 Joseph T. Lizier and Ipek Özdemir
Copyright (C) 2017- Joseph T. Lizier, Ipek Özdemir and Pedro Mediano Copyright (C) 2016-2019 Joseph T. Lizier, Ipek Özdemir and Pedro Mediano
Copyright (C) 2019-2022 Joseph T. Lizier, Ipek Özdemir, Pedro Mediano, Emanuele Crosato, Sooraj Sekhar and Oscar Huaigu Xu
Copyright (C) 2022- Joseph T. Lizier, Ipek Özdemir, Pedro Mediano, Emanuele Crosato, Sooraj Sekhar, Oscar Huaigu Xu and David Shorten
Version @VERSION@ (see release notes below) Version @VERSION@ (see release notes below)
@ -134,6 +136,17 @@ Notices for this software are found in the notices/JAMA directory.
Release notes Release notes
=============== ===============
v1.6 5/9/2022
-------------
(after 889 commits recorded by github, repository as at https://github.com/jlizier/jidt/tree/d750a737bea2a8b1f33b7cd0ad167ec999d907ef save for this file update)
Adding Flocking/Schooling/Swarming demo;
Included Pedro's code on IIT and O-/S-Information measures;
Spiking TE estimator added from David;
Fixed up AutoAnalyser to work well for Python3 and numpy;
Links to lecture videos included in the beta wiki for the course;
Added rudimentary effective network inference (simplified version of the IDTxl full algorithm) in demos/octave/EffectiveNetworkInference;
v1.5 26/11/2018 v1.5 26/11/2018
--------------- ---------------
(after 753 commits recorded by github, repository as at https://github.com/jlizier/jidt/tree/603445651cc0bf155a42c9ba336141bc7f29bccd save for this file update) (after 753 commits recorded by github, repository as at https://github.com/jlizier/jidt/tree/603445651cc0bf155a42c9ba336141bc7f29bccd save for this file update)

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version-template.txt
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@ -1,6 +1,9 @@
Java Information Dynamics Toolkit Java Information Dynamics Toolkit (JIDT)
Copyright (C) 2012-2014 Joseph T. Lizier Copyright (C) 2012-2014 Joseph T. Lizier
Copyright (C) 2014-2016 Joseph T. Lizier and Ipek Özdemir Copyright (C) 2014-2016 Joseph T. Lizier and Ipek Özdemir
Copyright (C) 2016-2019 Joseph T. Lizier, Ipek Özdemir and Pedro Mediano
Copyright (C) 2019-2022 Joseph T. Lizier, Ipek Özdemir, Pedro Mediano, Emanuele Crosato, Sooraj Sekhar and Oscar Huaigu Xu
Copyright (C) 2022- Joseph T. Lizier, Ipek Özdemir, Pedro Mediano, Emanuele Crosato, Sooraj Sekhar, Oscar Huaigu Xu and David Shorten
Version @VERSION@ Version @VERSION@