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Change Log

All notable changes to this project will be documented in this file. This project adheres to Semantic Versioning.

Unreleased

Changed

#57 Mark the Fortran code as linguist-vendored so that GitHub classifies this project as Python (#37).

2.1.1 - 2019-03-11

Fixed

#55 Include all Fortran source code in source tarball; exclude autogenerated C.

2.1.0 - 2019-03-11

Added

#29 Provide understandable error messages for more glmnet solver errors.
#31 Expose max_features parameter in ElasticNet and LogitNet.
#34 Use sample weights in LogitNet.
#41 Add lower_limits and upper_limits parameters to ElasticNet and LogitNet, allowing users to restrict the range of fitted coefficients.

Changed

#44 Change CircleCI configuration file from v1 to v2, switch to pytest, and test in Python versions 3.4 - 3.7.
#36 Convert README to .rst format for better display on PyPI (#35).
#54 Use setuptools in setup.py and update author in metadata.

Fixed

#24 Use shuffled splits (controlled by input seed) for cross validation (#23).
#47 Remove inappropriate __init__.py from the root path (#46).
#51 Satisfy scikit-learn estimator checks. Includes: Allow one-sample predictions; allow list inputs for sample weights; Ensure scikit-learn Estimator compatibility.
#53 Return correct dimensions for 1-row predictions, with or without lambda path, in both LogitNet and ElasticNet (#52, #30, #25).

2.0.0 - 2017-03-01

API Changes

#10 the parameter n_folds in the constructors of LogitNet and ElasticNet has been changed to n_splits for consistency with Scikit-Learn.

Added

#6 expose relative penalty

Changed

#10 update Scikit-Learn to 0.18

Fixed

#3 ensure license and readme are included in sdist
#8 fix readme encoding
#14 fix reference to lambda_best_ in docs
#16 fix import path for UndefinedMetricWarning

1.0.0 - 2016-06-03

Added

Initial release