Hi Vladisav I'm the author of the design document. An area we stalled on was creating a common low level linear algebra library that would also include optimizations like MKL but across platforms and GPUs. Additionally there are efforts underway that provide a scoring API vs a training API.
- PredictionIO http://predictionio.incubator.apache.org/ (now part of Salesforce) - MLeap https://github.com/combust/mleap - PFA - Portable Format for Analytics http://dmg.org/pfa/ Any ML effort needs to also include deep learning and the ability to integrate various types of neural networks. Apache has several early efforts in this regard (mxnet, singa). Thanks Kam On Fri, Jan 6, 2017 at 7:07 AM, Vladisav Jelisavcic <vladis...@gmail.com> wrote: > Hi everyone, > > what is the current status on BEAM-478 and BEAM-303 (machine learning > learning DSL and related functions)? > I would like to start contributing in this direction. > > I found this design document: > https://docs.google.com/document/d/17cRZk_yqHm3C0fljivjN66MbLkeKS1yjo4PB > ECHb-xA/edit#heading=h.n51rhya8bv4f > > Are there any other docs/advances related to this? > > > Best regards, > Vladisav >
