For Javascript Bayesian Bandits/Thompson Sampling - https://github.com/omphalos/bayesian-bandit.js
Machine Learning frameworks, libraries and software
11–20 of 39 posts
Re: Machine Learning frameworks, libraries and software
#12Re: Machine Learning frameworks, libraries and software
#13Re: Machine Learning frameworks, libraries and software
#14glmnet - lasso/ridge/elastic net glm models.
e1071 - SVM classifiers.
randomForest - random forest classifiers.
mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required).
caret - similar to Java's Weka.
Re: Machine Learning frameworks, libraries and software
#15Re: Machine Learning frameworks, libraries and software
#16Re: Machine Learning frameworks, libraries and software
#17Re: Machine Learning frameworks, libraries and software
#18The R portion needs some serious filling - for starters: you include the Julia wrapper to glmnet, which was originally implemented in R. glmnet - lasso/ridge/elastic net glm models. e1071 - SVM classifiers. randomForest - random forest classifiers. mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required). caret - sim…
Re: Machine Learning frameworks, libraries and software
#19In my case, any library licensed under the GPL is automatically excluded from consideration, so this is a significant factor. I'd rather not spend any time on those.