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From Aseem Bansal <asmbans...@gmail.com>
Subject Re: [ML] MLeap: Deploy Spark ML Pipelines w/o SparkContext
Date Fri, 03 Feb 2017 12:05:06 GMT
Does this support Java 7?

On Fri, Feb 3, 2017 at 5:30 PM, Aseem Bansal <asmbansal2@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 <hollin@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
>>
>
>

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