Does this support Java 7? On Fri, Feb 3, 2017 at 5:30 PM, Aseem Bansal <asmbans...@gmail.com> wrote:
> Is computational time for predictions on the order of few milliseconds (< > 10 ms) like the old mllib library? > > On Thu, Feb 2, 2017 at 10:12 PM, Hollin Wilkins <hol...@combust.ml> wrote: > >> Hey everyone, >> >> >> Some of you may have seen Mikhail and I talk at Spark/Hadoop Summits >> about MLeap and how you can use it to build production services from your >> Spark-trained ML pipelines. MLeap is an open-source technology that allows >> Data Scientists and Engineers to deploy Spark-trained ML Pipelines and >> Models to a scoring engine instantly. The MLeap execution engine has no >> dependencies on a Spark context and the serialization format is entirely >> based on Protobuf 3 and JSON. >> >> >> The recent 0.5.0 release provides serialization and inference support for >> close to 100% of Spark transformers (we don’t yet support ALS and LDA). >> >> >> MLeap is open-source, take a look at our Github page: >> >> https://github.com/combust/mleap >> >> >> Or join the conversation on Gitter: >> >> https://gitter.im/combust/mleap >> >> >> We have a set of documentation to help get you started here: >> >> http://mleap-docs.combust.ml/ >> >> >> We even have a set of demos, for training ML Pipelines and linear, >> logistic and random forest models: >> >> https://github.com/combust/mleap-demo >> >> >> Check out our latest MLeap-serving Docker image, which allows you to >> expose a REST interface to your Spark ML pipeline models: >> >> http://mleap-docs.combust.ml/mleap-serving/ >> >> >> Several companies are using MLeap in production and even more are >> currently evaluating it. Take a look and tell us what you think! We hope to >> talk with you soon and welcome feedback/suggestions! >> >> >> Sincerely, >> >> Hollin and Mikhail >> > >
