MLeap Framework
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An MLeap Framework is a machine learning framework for deploying machine learning pipelines.
References
2018
- https://github.com/combust/mleap
- QUOTE: MLeap allows data scientists and engineers to deploy machine learning pipelines from Spark and Scikit-learn to a portable format and execution engine.
... Using the MLeap execution engine and serialization format, we provide a performant, portable and easy-to-integrate production library for machine learning data pipelines and algorithms. For portability, we build our software on the JVM and only use serialization formats that are widely-adopted. ...
Our goals for this project are:
- Allow Researchers/Data Scientists and Engineers to continue to build data pipelines and train algorithms with Spark and Scikit-Learn
- Extend Spark/Scikit/TensorFlow by providing ML Pipelines serialization/deserialization to/from a common framework (Bundle.ML)
- Use MLeap Runtime to execute your pipeline and algorithm without dependencies on Spark or Scikit (numpy, pandas, etc)
- QUOTE: MLeap allows data scientists and engineers to deploy machine learning pipelines from Spark and Scikit-learn to a portable format and execution engine.
