emcee — emcee | 社區大學終身學習網
![emcee — emcee](https://i.imgur.com/1IaoGs0.jpg)
emceeisanMITlicensedpure-PythonimplementationofGoodman&Weare'sAffineInvariantMarkovchainMonteCarlo(MCMC)Ensemblesamplerandthesepages ...
![emcee — emcee](https://i.imgur.com/1IaoGs0.jpg)
emcee is an MIT licensed pure-Python implementation of Goodman & Weare’s Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler[1] and these pages will show you how to use it.
This documentation won’t teach you too much about MCMC but there are a lot of resources available for that (try this one[2]). We also published a paper[3] explaining the emcee algorithm and implementation in detail.
emcee has been used in quite a few projects in the astrophysical literature and it is being actively developed on GitHub[4].
Basic UsageIf you wanted to draw samples from a 5 dimensional Gaussian, you would do something like:
import numpy as np import emcee def log_prob(x, ivar): return -0.5 * np.sum(ivar * x ** 2) ndim, nwalkers = 5...dfmemcee | 社區大學終身學習網
emcee | 社區大學終身學習網
emcee 2.2.1 documentation | 社區大學終身學習網
Emcee Example | 社區大學終身學習網
emcee — emcee | 社區大學終身學習網
Fitting a model to data | 社區大學終身學習網
Installation — emcee | 社區大學終身學習網
Parallelization — emcee | 社區大學終身學習網
The Ensemble Sampler — emcee | 社區大學終身學習網
![](https://i.imgur.com/1IaoGs0.jpg)
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