Metadata-Version: 2.1
Name: scikit-guess
Version: 0.0.2
Summary: Non-iterative initial parameter guesses for fitting routines
Home-page: https://gitlab.com/madphysicist/scikit-guess
Author: Joseph R. Fox-Rabinovitz
Author-email: jfoxrabinovitz@gmail.com
Maintainer: Joseph R. Fox-Rabinovitz
Maintainer-email: jfoxrabinovitz@gmail.com
License: BSD 2-Clause License
Project-URL: Bugs, https://gitlab.com/madphysicist/scikit-guess/-/issues
Project-URL: Documentation, https://scikit-guess.readthedocs.io/en/latest/
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
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: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Office/Business :: Financial :: Investment
Description-Content-Type: text/markdown
Provides-Extra: docs
Provides-Extra: docs-rtd
Provides-Extra: pandas
Provides-Extra: test-pep8
Provides-Extra: test-plots
License-File: LICENSE

scikit-guess
============

This scikit contains methods for computing fast, non-iterative estimates of
fitting parameters for common functions. The estimates may be used as-is on
their own, or refined through non-linear optimization algorithms. The name of
the scikit comes from the fact that estimates are a good initial guess for the
optimal fitting parameters.

Documentation available on Read the Docs: https://scikit-guess.readthedocs.io/en/latest/.


Changelog
=========

0.0.2 (2025-10-30)
------------------

* Bugfixes and addition of `cluster1d`.


0.0.1a0 (2021-02-01)
--------------------

* First release on PyPI. Still a WIP, but wanted to hog the package name.


