You are correct to suspect that this page is substantially out of date.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
