Papers › Neuraxle - A Python Framework for Neat Machine Learning Pipelines
Neuraxle - A Python Framework for Neat Machine Learning Pipelines
Chevalier, Guillaume and Brillant, Alexandre and Hamel, Eric
Code Machine Learning Pipelines - The Right Way. The present new framework is for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications. Most open-source frameworks for machine learning offer abstractions that hardly allow automatic machine learning, code reuse, and deploying models to productions. The hyperparameter search space is often strongly coupled to the whole pipeline rather than being decoupled of the pipeline and only coupled to the individual estimator objects: the pipeline steps. The need for an open-source and scaleable pipeline library is strong.
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