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

• URL: http://arxiv.org/abs/2106.06524v1
• Date: Fri, 11 Jun 2021 17:42:02 GMT
• Title: WAX-ML: A Python library for machine learning and feedback loops on streaming data
• Authors: Emmanuel S\'eri\'e
• Abstract summary: WAX-ML is a research-oriented Python library. It provides tools to design powerful machine learning algorithms. It strives to complement JAX with tools dedicated to time series.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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 https://github.com/eserie/wax-ml.

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