Skip to main content

FEERCI: A python package for EER confidence intervals

Project description

FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates

**FEERCI** is an opinionated, easy-to-use package for calculating EERs and non-parametric confidence intervals efficiently. It offers a single method, ``feerci.feerci``, that returns both an EER and CI for provided impostor and genuine scores. The only dependency is numpy.

``pip install feerci``

What's New
- Switched output arguments around, to make more intuitive sense
- Initial release of package

**FEERCI** is distributed under the MIT license


Calculating just an EER::

import feerci
import numpy as np
impostors = np.random.rand(100)
genuines = np.random.rand(100)
eer,_,_,_ = feerci.feerci(impostors,genuines,is_sorted=False,m=-1)

Calculating an EER and 95% confidence interval::

eer,ci_lower,ci_upper,bootstrapped_eers = feerci.feerci(impostors,genuines,is_sorted=False)

Calculating an EER and 99% confidence interval::

eer,ci_lower,ci_upper,bootstrapped_eers = feerci.feerci(impostors,genuines,is_sorted=False,ci=.99)

Calculating an EER and 99% confidence interval on 1000 bootstrap iterations::

eer,ci_lower,ci_upper,bootstrapped_eers = feerci.feerci(impostors,genuines,is_sorted=False,m=1000,ci=.99)

Project details

Download files

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

Files for feerci, version 0.2.0
Filename, size File type Python version Upload date Hashes
Filename, size feerci-0.2.0-cp34-cp34m-manylinux1_x86_64.whl (388.9 kB) File type Wheel Python version cp34 Upload date Hashes View
Filename, size feerci-0.2.0-cp35-cp35m-manylinux1_x86_64.whl (386.2 kB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size feerci-0.2.0-cp36-cp36m-manylinux1_x86_64.whl (395.2 kB) File type Wheel Python version cp36 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page