Microsoft yesterday announced the release of SynapseML (formerly MMLSpark), an open source library for creating scalable machine learning pipelines. SynapseML builds on top of Apache Spark and SparkML to enable new types of modeling, analytics, and machine learning deployment workflows.
SynapseML consolidates several existing ML frameworks and new Microsoft algorithms into a single, extensible API that can be used across Python, R, Scala, and Java.
Azure Synapse Analytics users can now take advantage of SynapseML with enterprise support. They can now build large-scale ML pipelines using Azure Cognitive Services, LightGBM, ONNX, and other available SynapseML features.
You can learn more about SynapseML here.
The source: Microsoft
https://mspoweruser.com/microsoft-synapseml-machine-learning-ml-pipelines/ Microsoft releases SynapseML, an open source library for creating scalable machine learning pipelines