Machine learning with polynomials

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: LPGL-2.1
  • Author: Pranay Seshadri, Nicholas Wong, Irene Virdis, James Gross
  • Tags polynomial, chaos, effective, quadratures, polynomial, approximations, gradients
Classifiers

Project description

# Effective Quadratures Version 8.0

Tools for machine learning with polynomials.

# Installation and Documentation Please visit www.effective-quadratures.org

# Community guidelines If you have contributions, questions, or feedback use either the Github repository, or contact: contact <at> effective-quadratures.org

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: LPGL-2.1
  • Author: Pranay Seshadri, Nicholas Wong, Irene Virdis, James Gross
  • Tags polynomial, chaos, effective, quadratures, polynomial, approximations, gradients
Classifiers

Release history Release notifications | RSS feed

10

9.1.0.2

9.1.0

9.0.0

8.1.1

8.1

8.0.3

8.0.2

8.0.1

This version

8.0.0

7.6.1

7.6

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

equadratures-8.0.0-py3.7.egg (199.9 kB view hashes)

Uploaded Source

equadratures-8.0.0-py2.7.egg (199.2 kB view hashes)

Uploaded Source

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