项目作者: hayato-n

项目描述 :
Bayesian Regression with automatic regularization or variable selection
高级语言:
项目地址: git://github.com/hayato-n/BayesianRegressions.git
创建时间: 2020-12-01T08:16:20Z
项目社区:https://github.com/hayato-n/BayesianRegressions

开源协议:MIT License

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BayesianRegressions

Python implementation of full Bayesian regression including automatic variable selection with ARD prior.

Usage

Please check test.ipynb

Author

Hayato Nishi (U Tokyo)
Website

References

  • Drugowitsch, J. (2013). Variational Bayesian inference for linear and logistic regression. arXiv preprint arXiv:1310.5438.
  • Hoffman, M. D., Blei, D. M., Wang, C., & Paisley, J. (2013). Stochastic variational inference. The Journal of Machine Learning Research, 14(1), 1303-1347.
  • Ranganath, R., Wang, C., David, B., & Xing, E. (2013, May). An adaptive learning rate for stochastic variational inference. In International Conference on Machine Learning (pp. 298-306). PMLR.