MLIB DE APACHE SPARK, tiene los siguientes algoritmos:
Algorithms MLlib 1.3 contains the following algorithms:
linear SVM and logistic regression classification and regression tree random forest and gradient-boosted trees recommendation via alternating least squares clustering via k-means, Gaussian mixtures, and power iteration clustering topic modeling via latent Dirichlet allocation singular value decomposition linear regression with L1- and L2-regularization isotonic regression multinomial naive Bayes frequent itemset mining via FP-growth basic statistics feature transformations