mleap | MLeap allows for easily putting Spark ML pipelines

mleap is a Scala library typically used in Big Data, Spark applications. mleap has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Easily put your Spark ML Pipelines into action with MLeap. Train your feature and regression/classification pipeline with Spark then easily convert them to MLeap pipelines to deploy them anywhere. Take your pipelines to an API server, Hadoop, or even back to Spark to execute on a DataFrame. MLeap allows for easy serialization of your estimator and transformer pipelines so you can save them for reuse later. Executing an MLeap pipeline does not require a SparkContext or DataFrame so there is very little overhead for realtime one-off predictions. You don't have to worry about Spark dependencies for executing your models, just add the lightweight MLeap runtime library instead.