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WAX-ML: A Python library for machine learning and feedback loops on streaming data

2021-06-11 17:42:02
Emmanuel Sérié
arXiv_CL
   
Abstract

Wax is what you put on a surfboard to avoid slipping. It is an essential tool to go surfing... We introduce WAX-ML a research-oriented Python library providing tools to design powerful machine learning algorithms and feedback loops working on streaming data. It strives to complement JAX with tools dedicated to time series. WAX-ML makes JAX-based programs easy to use for end-users working with pandas and xarray for data manipulation. It provides a simple mechanism for implementing feedback loops, allows the implementation of online learning and reinforcement learning algorithms with functions, and makes them easy to integrate by end-users working with the object-oriented reinforcement learning framework from the Gym library. It is released with an Apache open-source license on GitHub at this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2106.06524

PDF

https://arxiv.org/pdf/2106.06524.pdf

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