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.
