.. vim: set fileencoding=utf-8 : .. Thu 11 Aug 14:52:51 CEST 2016 .. image:: http://img.shields.io/badge/docs-stable-yellow.svg :target: http://pythonhosted.org/bob.measure/index.html .. image:: http://img.shields.io/badge/docs-latest-orange.svg :target: https://www.idiap.ch/software/bob/docs/latest/bob/bob.measure/master/index.html .. image:: https://gitlab.idiap.ch/bob/bob.measure/badges/v2.4.0/build.svg :target: https://gitlab.idiap.ch/bob/bob.measure/commits/v2.4.0 .. image:: https://gitlab.idiap.ch/bob/bob.measure/badges/v2.4.0/coverage.svg :target: https://gitlab.idiap.ch/bob/bob.measure/commits/v2.4.0 .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg :target: https://gitlab.idiap.ch/bob/bob.measure .. image:: http://img.shields.io/pypi/v/bob.measure.svg :target: https://pypi.python.org/pypi/bob.measure .. image:: http://img.shields.io/pypi/dm/bob.measure.svg :target: https://pypi.python.org/pypi/bob.measure ======================================= Experiment Evaluation Metrics for Bob ======================================= This package is part of the signal-processing and machine learning toolbox Bob_. It contains common routines for assessing performance of machine learning experiments. Installation ------------ Complete Bob's `installation`_ instructions. Then, to install this pacakge, run:: $ conda install bob.measure Contact ------- For questions or reporting issues to this software package, contact our development `mailing list`_. .. Place your references here: .. _bob: https://www.idiap.ch/software/bob .. _installation: https://www.idiap.ch/software/bob/install .. _mailing list: https://www.idiap.ch/software/bob/discuss