Hi, Is someone working on a project on integrating Oryx model serving layer with Spark ? Models will be built using either Streaming data / Batch data in HDFS and cross validated with mllib APIs but the model serving layer will give API endpoints like Oryx and read the models may be from hdfs/impala/SparkSQL
One of the requirement is that the API layer should be scalable and elastic...as requests grow we should be able to add more nodes...using play and akka clustering module... If there is a ongoing project on github please point to it... Is there a plan of adding model serving and experimentation layer to mllib ? Thanks. Deb
