Yury, thanks for the update! It would be nice if you wrote a blog about IgniteML where you would demonstrate a few examples. This would make it easier for the community to digest the new features.
On Wed, Jul 19, 2017 at 11:18 AM, Yury Babak <y.ch...@gmail.com> wrote: > Hi Igniters, > > Here is the some update about Ignite ML. Last 2 month we working on a few > new cool features. > > First of all it's decision tree algorithm with next step - random forest. > Currently this feature under development by Artem Malykh. > > The same for the second major change - BLAS. BLAS is high efficient lib for > linear algebra and it's "must have" for any ML lib. We already have this > feature but now it works only for local on-heap matrices/vectors. So the > next step is add support for off-heap matrices/vectors and Oleg Ignatenko > working on it. Also we will set BLAS as default for any math operations > instead of current naive implementations. > > And last but not least - new distributed block matrix. This version is more > efficient rather than current distributed row/col matrix. It's already have > better performance for multiplication. Also this matrix is suitable for > Strassen algorithm which have lower complexity - O(n^2.8). > > All this features will be relesed with AI 2.2. Also for AI 2.2 we will > deffetly implement log regression and maybe something else. > > Stay tuned for further updateds. > > Regards, > Yury. > > > > -- > View this message in context: http://apache-ignite- > developers.2346864.n4.nabble.com/Ignite-ML-status-update-tp19829.html > Sent from the Apache Ignite Developers mailing list archive at Nabble.com. >
