Search using nature inspired algorithms over specified parameter values for an sklearn estimator.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for timzatko from gravatar.com timzatko

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Timotej Zatko

Tags sklearn, nature, inspired, algorithms

Requires: Python >=3.5, <4.0

Classifiers

Project description

Nature Inspired Algorithms for scikit-learn

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for timzatko from gravatar.com timzatko

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Timotej Zatko

Tags sklearn, nature, inspired, algorithms

Requires: Python >=3.5, <4.0

Classifiers

Release history Release notifications | RSS feed

0.12.0

0.11.0

0.10.0

0.9.0

0.8.2

0.8.1

0.7.1

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

0.2.2

0.2.1

0.2.0

0.1.1

This version

0.1.0

Download files

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

Source Distribution

sklearn_nature_inspired_algorithms-0.1.0.tar.gz (4.1 kB view hashes)

Uploaded Source

Built Distribution

sklearn_nature_inspired_algorithms-0.1.0-py3-none-any.whl (5.9 kB view hashes)

Uploaded Python 3

Supported by

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