pypi.org : hoppmcmc
An adaptive basin-hopping Markov-chain Monte Carlo algorithm for Bayesian optimisation
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-
Source
- Documentation
- JSON
purl: pkg:pypi/hoppmcmc
Keywords:
global
, optimisation
, parameter
, inference
, model
, selection
, simulated
, annealing
, bifurcation
, stochastic
, dynamics
, biochemical
, reaction
, parallel
, adaptive
, basin
, hopping
, mcmc
, metropolis
, hastings
, gibbs
, importance
, sampling
License: GPL-3.0
Latest release: almost 7 years ago
First release: almost 10 years ago
Dependent repositories: 1
Downloads: 10 last month
Stars: 7 on GitHub
Forks: 2 on GitHub
Total Commits: 19
Committers: 1
Average commits per author: 19.0
Development Distribution Score (DDS): 0.0
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Last synced: about 18 hours ago