Metadata-Version: 2.1
Name: probeye
Version: 2.0.0
Summary: A general framework for setting up parameter estimation problems.
Home-page: UNKNOWN
Author: Alexander Klawonn
Author-email: alexander.klawonn@bam.de
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: lint_type_checks
License-File: LICENSE

# probeye

[![Continuous integration](https://github.com/BAMresearch/probeye/actions/workflows/push.yaml/badge.svg)](https://github.com/BAMresearch/probeye/actions)
[![PyPI version](https://img.shields.io/pypi/v/probeye)](https://pypi.org/project/probeye/)
![python versions](https://img.shields.io/pypi/pyversions/probeye)
[![coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/aklawonn/5eb707145cc7d75de25b43d25b13c972/raw/probeye_main_coverage.json)](https://en.wikipedia.org/wiki/Code_coverage)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A general framework for setting up parameter estimation problems, and providing an interface for solving them via Bayesian (e.g. MCMC) or frequentist (e.g. maximum likelihood) methods.


