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Updating readme-template.txt and ready for release v1.5

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jlizier 2018-11-25 23:48:10 +11:00
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README.md
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@ -39,6 +39,16 @@ See other [PublicationsUsingThisToolkit](../../wiki/PublicationsUsingThisToolkit
# News
_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 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;
Kozachenko entropy estimator adds noise to data by default;
Added bias-correction property to Gaussian and Kernel estimators for MI and conditional MI, including with surrogates (only option for kernel);
Enabled use of different bases for different variables in MI discrete estimator;
All new above features enabled in AutoAnalyser;
Added drop-down menus for parameters in AutoAnalyser;
Included long-form lecture slides in course folder;
_26/11/2017_ - New jar and full distribution files available for **release v1.4**; Changes for v1.4 include:
Major expansion of functionality for AutoAnalysers: adding Launcher applet and capability to double click jar to launch, added Entropy, CMI, CTE and AIS AutoAnalysers, also added binned estimator type, added all variables/pairs analysis, added statistical significance analysis, and ensured functionality of generated Python code with Python3;
Added GPU (cuda) capability for KSG Mutual Information calculator (proper documentation and wiki page to come), including unit tests;

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readme-template.txt
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@ -134,10 +134,10 @@ Notices for this software are found in the notices/JAMA directory.
Release notes
===============
v1.5 25/11/2018
v1.5 26/11/2018
---------------
(after 749 commits recorded by github, repository as at https://github.com/jlizier/jidt/tree/dc4e59f94583f2cae53ff4167d8052151cddc3d8 save for this file update)
Added GPU (cuda) capability for KSG Conditional Mutual Information calculator (proper documentation and wiki page to come), including unit tests;
(after 753 commits recorded by github, repository as at https://github.com/jlizier/jidt/tree/603445651cc0bf155a42c9ba336141bc7f29bccd save for this file update)
Added GPU (cuda) capability for KSG Conditional Mutual Information calculator (proper documentation to come), including unit tests and brief wiki page;
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;
Kozachenko entropy estimator adds noise to data by default;
Added bias-correction property to Gaussian and Kernel estimators for MI and conditional MI, including with surrogates (only option for kernel);