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Machine Learning frameworks, libraries and software

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Re: Machine Learning frameworks, libraries and software

#13
post #7

Please, add Clojure and it's libs (see http://www.clojure-toolbox.com ). And sort languages alphabetically, please.

fixed

cloJure, not cloSure.

Also, I thought you would add all Machine Learning libs, not just link to the Clojure Toolbox.

Re: Machine Learning frameworks, libraries and software

#14
The 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 - similar to Java's Weka.

Re: Machine Learning frameworks, libraries and software

#18

The 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…

Or simply a link to the ML CRAN Task View: http://cran.r-project.org/web/views/MachineLearning.html

Re: Machine Learning frameworks, libraries and software

#19
A nice list! But this would be significantly more useful if it included project licensing information.

In 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.

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