impulse
A rewrite of PTMCMCSampler focusing on modularity
Installation
This package can be installed via pip: pip install impulse_mcmc
Currently working:
- Metropolis-Hastings sampling with adaptive jumps
- Parallel tempering with adaptive temperature spacing (as in Vousden et al. 2016)
- Vectorized likelihoods and priors
Currently under development:
- Resume function
Metadata
Release files for impulse-mcmc 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| impulse_mcmc-1.0.0.tar.gz | 11.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| impulse_mcmc-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.4 kB
Release files / impulse_mcmc-1.0.0.tar.gz
| Download URL | impulse_mcmc-1.0.0.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.1
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Release files / impulse_mcmc-1.0.0-py3-none-any.whl
| Download URL | impulse_mcmc-1.0.0-py3-none-any.whl |
|---|---|
| Size | 12.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
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Security for impulse-mcmc 1.0.0
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