Skip to main content

Hyperparameter search via genetic algorithm

Project description

This is a tool for optimising sklearn-compatible models’ hyperparameters. It uses genetic algorithm so, it is much faster than GridSearchCV and gives more consistent results than RandomizedSearchCV.

The class GeneticSearchCV is extended of the sklearn’s class BaseSearchCV, so it has the same functionality as sklearn’s searches.

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

genetic_search-0.1.0.tar.gz (8.5 kB view details)

Uploaded Source

File details

Details for the file genetic_search-0.1.0.tar.gz.

File metadata

  • Download URL: genetic_search-0.1.0.tar.gz
  • Upload date:
  • Size: 8.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for genetic_search-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9e85db0dd49c5a89c48f0b273888fd218d959ad3c6b6db047cec79a509436c6b
MD5 4f812993ff7cfe6a6467176b5b1ab216
BLAKE2b-256 03886c853ebe1d40c4d79def79061566509a4a2641c5c1152109a3dea69dbb53

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