Skip to main content

Tools to perform hypothesis tests based on the empirical attainment function.

Project description

Usage: eaftest <fileA> <fileB>
eaftest -i <indicators_file>
<fileA> and <fileB>: non-dominated sets of two-dimensional
objective vectors
<indicators_file>: point indicator file from the joint-eaf
Current limitations: second-order only
maximum executions: 64 (32 + 32) permutations: 10240 (fixed) significance level: 0.05 (fixed)

Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
eaftest-0.1.dev5.tar.gz (22.8 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page