Skip to main content

A selection of interpretable methods with logging and printouts

Project description

This is a library with 3 interepretable machine learning methods, wrapped with logging and side by side comparison. They can be used as normal scikit learn models, with fit, predict, and find_accuracy methods. Or, a script can be run on a data set, which will run all three and return logs and accuracies.

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

InterpretableMLWrappers-0.0.2.1.tar.gz (21.6 kB view hashes)

Uploaded Source

Built Distribution

InterpretableMLWrappers-0.0.2.1-py3-none-any.whl (14.1 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