On Mar 24, 2013, at 1:00 AM, Ted Dunning wrote: > - random forest, sequential and parallel implementations, new versions are > being developed, the current version may or may not be useful to you. > Can you elaborate the usefulness of the current version and features of the new versions? Thanks.
Ey-Chih Chow On Mar 24, 2013, at 1:00 AM, Ted Dunning wrote: > You are correct to suspect that this page is substantially out of date. > > Currently, Mahout has the following classifiers: > > - stochastic gradient descent for logistic regression (SGD) with L_1 or L_2 > regularization, sequential version only. These classifiers can be easily > extended with other gradients and regularizers which should make linear SVM's > easy to implement. > > - naive bayes, sequential and parallel implementations > > - random forest, sequential and parallel implementations, new versions are > being developed, the current version may or may not be useful to you. > > There are a variety of other classifiers which are in various states of > utility. > > On Mar 24, 2013, at 4:07 AM, Chidananda Sridhar wrote: > >> Hi, >> >> I am doing a class project on classification and want to use Mahout. I was >> searching for the classification algorithms already implemented in Mahout >> and came to this page: >> https://cwiki.apache.org/confluence/display/MAHOUT/Algorithms >> >> The webpage says that Online Passive >> Aggressive<https://cwiki.apache.org/confluence/display/MAHOUT/Online+Passive+Aggressive>is >> integrated and the rest of the classification algorithms are open or >> awaiting commit. Does the webpage have the latest information, or is it yet >> to be updated? Is "Online Passive Aggressive" the only algorithm I can use >> for now? On the other hand, I see that most of the clustering algorithms >> have been integrated. >> >> Thanks, >> Chidananda >
