frontier 0.1.2

Provides interfaces for the reading, storage and retrieval of large machine learning data sets for use with scikit-learn

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.