skll: SKLL 1.2

Published February 24, 2016 | Version v1.2

Software Open

This is a somewhat major release that includes major changes as well as a number of bugfixes.

Changes:

The required version of scikit-learn has been bumped up to 0.17.1 (issue #273, PRs #288 and #308)
You can now optionally save cross-validation folds to a file for later analysis (issue #259, PR #262)
Update documentation to be clear about when two FeatureSet instances are deemed equal (issue #272, PR #294)
You can now specify multiple objective functions for parameter tuning (issue #115, PR #291)

Bugfixes:

Use a fixed random state when doing non-stratified k-fold cross-validation (issue #247, PR #286)
Fix errors when using reusing relative paths in output section (issue #252, PR #287)
print_model_weights now works correctly for multi-class logistic regression models (issue #274, PR #267)
Correctly raise an IOError if the config file is not correctly specified (issue #275, PR #281)
The evaluate task does not crash when the test data have labels that were not seen in training data (issue #279, PR #290)
The fit() method for rescaled versions of learners now works correctly when not doing grid search (issue #304, PR #306)
Fix minor typos in the documentation and tutorial.

Files

Name	Size	Download all
skll-v1.2.zip md5:bf47bf704d42f91b64326262f1d8ca7e	190.2 kB	Preview Download

Is supplement to: https://github.com/EducationalTestingService/skll/tree/v1.2 (URL)