Microsoft Machine Learning for Apache Spark
MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Sparkā in several new directions. MMLSpark adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK)ā , LightGBMā and OpenCVā . These tools enable powerful and highly-scalable predictive and analytical models for a variety of datasources.
MMLSpark also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. In this vein, MMLSpark provides easy to use SparkML transformers for a wide variety of Microsoft Cognitive Servicesā . For production grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
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docker pull mcr.microsoft.com/mmlspark/releaseTo launch the container, run the following command:
docker run -it -p 8888:8888 -e ACCEPT_EULA=yes mcr.microsoft.com/mmlspark/release
Navigate to http://localhost:8888/ā in your web browser to run the sample notebooks. See the documentationā for more on Docker use.
To read the EULA for using the docker image, run
docker run -it -p 8888:8888 mcr.microsoft.com/mmlspark/release eula
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Read our paperā for a deep dive on MMLSpark.
See how MMLSpark is used to help endangered speciesā .
Explore our collaboration with Apache Sparkā on image analysis.
Watch MMLSpark at the Spark Summitā .
This project has adopted the Microsoft Open Source Code of Conductā . For more information see the Code of Conduct FAQā or contact [email protected]ā with any additional questions or comments.
See CONTRIBUTING.mdā for contribution guidelines.
To give feedback and/or report an issue, open a GitHub Issueā .
ApacheĀ®, Apache Spark, and SparkĀ® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
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