Skip to main content

Package to create generation constructive hyper-heuristics.

Project description


PyPI version

This is a small toolkit that allows the user to create classifiers via genetic programming, which can then be used by a hyper-heuristic (in this case a genetic algorithm) in order to improve results.

The current implementations are geared towards solving the Network Intrusion Detection problem, but users can easily adapt this to any other problem by inheriting from the respective classes in geepers/ and geepers/ and overwriting the relevant methods and attributes.

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

geepers_pkg-0.0.2.tar.gz (5.5 kB view hashes)

Uploaded source

Built Distribution

geepers_pkg-0.0.2-py3-none-any.whl (10.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page