python-zeus-mcmc 2.5.4
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-seaborn@0.13.2 python-setuptools@80.9.0 python-tqdm@4.67.1
Channel: guix
Home page: https://github.com/minaskar/zeus
Licenses: ASL 2.0
Synopsis: Deep learning energy measurement and optimization framework
Description:
This package provides an implementation of the Ensemble Slice Sampling method. Features:
fast & Robust Bayesian Inference
efficient Markov Chain Monte Carlo (MCMC)
black-box inference, no hand-tuning
excellent performance in terms of autocorrelation time and convergence rate
scale to multiple CPUs without any extra effort
automated Convergence diagnostics
Total results: 1