{"id":675009,"date":"2020-07-17T08:15:29","date_gmt":"2020-07-17T15:15:29","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=675009"},"modified":"2023-11-16T10:47:02","modified_gmt":"2023-11-16T18:47:02","slug":"synapseml","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/synapseml\/","title":{"rendered":"SynapseML"},"content":{"rendered":"
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SynapseML<\/h1>\n\n\n\n

Simple and Distributed Machine Learning<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n

Synapse Machine Learning (SynapseML) expands the distributed computing framework Apache Spark (opens in new tab)<\/span><\/a> in several new directions. SynapseML adds several machine learning frameworks to the SparkML Ecosystem, including LightGBM (opens in new tab)<\/span><\/a>, Vowpal Wabbit (opens in new tab)<\/span><\/a>, OpenCV (opens in new tab)<\/span><\/a>, Isolation Forest, (opens in new tab)<\/span><\/a> and the Open Neural Network Exchange (ONNX) (opens in new tab)<\/span><\/a>. These tools allow users to craft powerful and highly-scalable models that span multiple ML ecosystems.<\/p>\n\n\n\n

SynapseML also brings new networking capabilities to the Spark ecosystem. With the HTTP on Spark project, users can embed any <\/em>web service into their SparkML models and use their Spark clusters for massive networking workflows. In this vein, SynapseML provides easy-to-use SparkML transformers for a wide variety of Microsoft Cognitive Services (opens in new tab)<\/span><\/a>. Finally, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.<\/p>\n\n\n\n

Visit the SynapseML web site (opens in new tab)<\/span><\/a> or Github repository (opens in new tab)<\/span><\/a> to learn more.<\/p>\n\n\n\n\n\n

Learn about GenStudio ><\/a><\/p>\n\n\n\n

Learn about the Snow Leopard Trust ><\/a><\/p>\n\n\n\n

Watch these Spark Summit videos:<\/p>\n\n\n\n