Provides interfaces for the reading, storage and retrieval of large machine learning data sets for use with scikit-learn
Project description
A Python package providing interfaces for the reading, storage and retrieval of large machine learning data sets for use with scikit-learn.
Documentation: http://frontier.readthedocs.org.
Requirements
To use;
numpy
To test;
tox
pytest
For coverage;
nose
python-coveralls
Installation
$ pip install frontier
History
0.1.2 (2014-08-12)
- Fix #2
Add get_id to data readers to prevent cluttering parameter space.
Update TestBamcheckReader.test_id_key to use get_id() instead of get_data()[“_id”]
0.1.1 (2014-06-30)
Documentation now exists.
Required data readers to specify an _id instead of forcing use of data file basename in the Statplexer.
0.1.0 (2014-06-28)
First release on PyPI.
