Does this support Java 7? What is your timezone in case someone wanted to talk?
On Fri, Feb 3, 2017 at 10:23 PM, Hollin Wilkins <hol...@combust.ml> wrote: > Hey Aseem, > > We have built pipelines that execute several string indexers, one hot > encoders, scaling, and a random forest or linear regression at the end. > Execution time for the linear regression was on the order of 11 > microseconds, a bit longer for random forest. This can be further optimized > by using row-based transformations if your pipeline is simple to around 2-3 > microseconds. The pipeline operated on roughly 12 input features, and by > the time all the processing was done, we had somewhere around 1000 features > or so going into the linear regression after one hot encoding and > everything else. > > Hope this helps, > Hollin > > On Fri, Feb 3, 2017 at 4:05 AM, Aseem Bansal <asmbans...@gmail.com> wrote: > >> 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 >>>> >>> >>> >> >
