v1.5-dist

Full distribution release v1.5 (including source code, jar, demos, documentation, etc.)

Release notes:

v1.5 26/11/2018

(after 753 commits recorded by github)
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);
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.