Introduction-to-PyMC3
所属分类：后台框架
开发工具：Jupyter Notebook
文件大小：2468KB
下载次数：0
上传日期：2020-11-27 05:54:40
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sh-1993
说明： PyMC3是一个新的开源概率编程框架，用Python编写，使用Theano计算梯度...
(PyMC3 is a new open source probabilistic programming framework written in Python that uses Theano to compute gradients via automatic differentiation as well as compile probabilistic programs on-the-fly to C for increased speed. Contrary to other probabilistic programming languages, PyMC3 allows model specification directly in Python code.)
文件列表:
Intro_to_PyMC3_01.ipynb (371851, 2020-11-27)
Intro_to_PyMC3_02(Fonnesbeck).ipynb (194758, 2020-11-27)
Intro_to_PyMC3_03(S&P500).ipynb (342771, 2020-11-27)
Intro_to_PyMC3_1a.ipynb (882398, 2020-11-27)
Intro_to_PyMC3_1b.ipynb (937526, 2020-11-27)
Intro_to_PyMC3_1c.ipynb (412371, 2020-11-27)
Pymc3_01.ipynb (386950, 2020-11-27)
txtdata.csv (1850, 2020-11-27)
# Introduction
PyMC3 is a new open source probabilistic programming framework written in Python that uses Theano to compute gradients via automatic differentiation as well as compile probabilistic programs on-the-fly to C for increased speed. Contrary to other probabilistic programming languages, PyMC3 allows model specification directly in Python code.
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