Metadata-Version: 2.4
Name: aspire-inference
Version: 0.1.0a2
Summary: Accelerate Sequential Posterior Inference via REuse
Author-email: "Michael J. Williams" <michaeljw1@googlemail.com>
License: MIT
Project-URL: Homepage, https://github.com/mj-will/aspire
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: array-api-compat
Requires-Dist: wrapt
Requires-Dist: h5py
Provides-Extra: jax
Requires-Dist: jax; extra == "jax"
Requires-Dist: jaxlib; extra == "jax"
Requires-Dist: flowjax; extra == "jax"
Provides-Extra: torch
Requires-Dist: torch; extra == "torch"
Requires-Dist: zuko; extra == "torch"
Provides-Extra: minipcn
Requires-Dist: minipcn; extra == "minipcn"
Provides-Extra: emcee
Requires-Dist: emcee; extra == "emcee"
Provides-Extra: blackjax
Requires-Dist: blackjax; extra == "blackjax"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-requires; extra == "test"
Dynamic: license-file

# aspire: Accelerated Sequential Posterior Inference via REuse

aspire is a framework for reusing existing posterior samples to obtain new results at a reduced code.

## Installation

aspire can be installed from PyPI using `pip`

```
pip install aspire-inference
```

**Important:** the name of `aspire` on PyPI is `aspire-inference` but once installed
the package can be imported and used as `aspire`.
