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Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
Last year, the Uber team introduced Orbit, a Bayesian time series modeling user interface which is simple to use, adaptable, interoperable, and high-performing (fast computation). Orbit uses probabilistic programming languages (PPL) for posterior approximation. So far, it is the only tool that enables simple model specification and analysis without being restricted to a small number […]
The post Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting appeared first on MarkTechPost.
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