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Machinelearning server for developers and ML engineers
Apache PredictionIO® is an open source MachineLearning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machinelearning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machinelearning modeling with systematic processes and pre-built evaluation measures; support machinelearning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machinelearning models and seamlessly incorporate them into your engine; simplify data infrastructure management.
...The full citation is:
Oscar Reyes, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura. JCLAL: A Java Framework for Active Learning. Journal of MachineLearning Research, 17(95):1-5, 2016.
This work is part of the area of Artificial Intelligence, in particular in the field of machinelearning. The web service is built to facilitate the use of JCLAL in applications developed in any programming language. Users should know only the basic format to send and receive requests.
JCLALtext is a class library designed to extend the framework JCLAL text tasks. JCLALtext is free, open source and developed with the Java programming language. JCLALtext is distributed under the GNU license. The researcher can use the class library by adding it to your project.
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