Simple implementation of Latin Hypercube Sampling.

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Mike Diessner
  • Tags Python, Latin Hypercube Sampling, Space filling design
Classifiers

Project description

This simple implementation of Latin Hypercube Sampling can be used to find collection of points that cover a predefined space. Currently, a random and a maxmin design are supported.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Mike Diessner
  • Tags Python, Latin Hypercube Sampling, Space filling design
Classifiers

Release history Release notifications | RSS feed

1.2.1

1.2.0

1.1.0

1.0.6

1.0.5

1.0.4

1.0.2

1.0.1

This version

1.0.0

Download files

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

Source Distribution

simplelhs-1.0.0.tar.gz (3.2 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