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I Use This!
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Commits : Listings

Analyzed 1 day ago. based on code collected 1 day ago.
Apr 22, 2023 — Apr 22, 2024
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
redirect people to enclog repo More... over 11 years ago
updated README to suggest version 0.4.1 More... over 11 years ago
minor prettyfication More... over 11 years ago
removed redundant let bindings in the big multi-method More... over 11 years ago
added kmeans clustering example More... over 11 years ago
ability to initialise an empty dataset was missing More... over 11 years ago
some more comments More... almost 12 years ago
fixed subtle bug when training NEAT More... almost 12 years ago
changed most 'do's to 'doto's More... almost 12 years ago
SOM training works well More... almost 12 years ago
finished simple-som example More... almost 12 years ago
useful utilities shall go here More... almost 12 years ago
added neighborhood functions for SOMs More... almost 12 years ago
changed 'proxy' to 'reify' to CalculateScore implementing macro More... almost 12 years ago
fixed minor ambiguities More... almost 12 years ago
check (every?) for CSV input fields More... almost 12 years ago
added normalization namespace More... almost 12 years ago
minor restructuring - normalisation ended up having its own namespace More... almost 12 years ago
added 2 normalization examples More... almost 12 years ago
strategies were not in a vector in the example More... almost 12 years ago
oops! colours back More... almost 12 years ago
fixed typos - added documentation More... almost 12 years ago
corrected latest version More... almost 12 years ago
Some new instructions More... almost 12 years ago
deleted unwanted namespaces More... almost 12 years ago
a bit of renaming to avoid collisions More... almost 12 years ago
added a handy little macro for evaluation of best network More... almost 12 years ago
added the official XORNEAT.java More... almost 12 years ago
updated to version 0.4.0 More... almost 12 years ago
minor restructuring of the 'train' function. It is now overloaded and always returns the best network. More... almost 12 years ago