The pyChemometrics provides objects which wrap pre-existing scikit-learn PCA and PLS algorithms and adds model assessment metrics and functions common in the Chemometrics literature.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gscorreia89 from gravatar.com gscorreia89

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: BSD 3-Clause License

Author: Gonçalo Correia

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gscorreia89 from gravatar.com gscorreia89

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: BSD 3-Clause License

Author: Gonçalo Correia


Release history Release notifications | RSS feed

This version

0.13.6

0.13.5

0.13.4

0.13.3

0.1

Download files

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

Source Distribution

pyChemometrics-0.13.6.tar.gz (58.6 kB view hashes)

Uploaded Source

Built Distribution

pyChemometrics-0.13.6-py3-none-any.whl (66.1 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