Metadata-Version: 2.4
Name: elfi
Version: 0.8.8
Summary: ELFI - Engine for Likelihood-free Inference
Home-page: http://elfi.readthedocs.io
Author: ELFI authors
Author-email: elfi-support@hiit.fi
License: BSD
Keywords: abc likelihood-free statistics
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
License-File: LICENSE
Requires-Dist: dask[distributed]>=2.30.0
Requires-Dist: numpy>=1.12.1
Requires-Dist: scipy>=0.19
Requires-Dist: matplotlib<3.9,>=1.1
Requires-Dist: GPy>=1.0.9
Requires-Dist: networkX>=2.0
Requires-Dist: ipyparallel>=6
Requires-Dist: toolz>=0.8
Requires-Dist: scikit-learn>=0.18.1
Requires-Dist: numdifftools>=0.9
Requires-Dist: arviz>=0.12.1
Requires-Dist: setuptools>=69
Provides-Extra: doc
Requires-Dist: Sphinx; extra == "doc"
Provides-Extra: graphviz
Requires-Dist: graphviz>=0.7.1; extra == "graphviz"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: summary

ELFI is a statistical software package for likelihood-free inference (LFI) such as
Approximate Bayesian Computation (ABC_). The term LFI refers to a family of inference
methods that replace the use of the likelihood function with a data generating simulator
function. Other names or related approaches to LFI include simulator-based inference,
approximate Bayesian inference, indirect inference, etc.

ELFI features an easy to use syntax and supports parallelized inference out of the box.

.. _ABC: https://en.wikipedia.org/wiki/Approximate_Bayesian_computation
