Skip to main content

Non-iterative initial parameter guesses for fitting routines

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit_guess-0.0.2.tar.gz (25.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scikit_guess-0.0.2-py3-none-any.whl (35.3 kB view details)

Uploaded Python 3

File details

Details for the file scikit_guess-0.0.2.tar.gz.

File metadata

  • Download URL: scikit_guess-0.0.2.tar.gz
  • Upload date:
  • Size: 25.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.12

File hashes

Hashes for scikit_guess-0.0.2.tar.gz
Algorithm Hash digest
SHA256 549a3fae5a6e2813a7bf61d9a561e0688ffb4ca86cd8d4d86322c4b619c540e0
MD5 5ebd87799cd25a31e40ad2a21fcb6362
BLAKE2b-256 2c071098807df92653278e56d05f05b64bdc2fe315545954ed371bac0a1f30e4

See more details on using hashes here.

File details

Details for the file scikit_guess-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: scikit_guess-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 35.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.12

File hashes

Hashes for scikit_guess-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 981ef32eded48c464c0526370a59bc9733f160b0b00831a407d625815cadd0f4
MD5 cd1ac2382d5a83575825b587f72c1c0b
BLAKE2b-256 7c953bffc9cc04f6c8c8917158dd3f90e4505ab8122fe198bfc586a992af4f2c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page