EducationalTestingService / skll

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
http://skll.readthedocs.org
Other
551 stars 67 forks source link

SKLL Release 2.1 #597

Closed desilinguist closed 4 years ago

desilinguist commented 4 years ago

This PR:

To review:

  1. Review the changes in the PR.
  2. Create a conda environment and test out the conda package with some of your SKLL experiments.
  3. Let me know if I missed updating anything in the documentation.

NOTE: The pre-release test builds for both Conda and TestPyPI pass successfully 🎉.

codecov[bot] commented 4 years ago

Codecov Report

Merging #597 into master will not change coverage by %. The diff coverage is 100.00%.

Impacted file tree graph

@@           Coverage Diff           @@
##           master     #597   +/-   ##
=======================================
  Coverage   95.06%   95.06%           
=======================================
  Files          20       20           
  Lines        2977     2977           
=======================================
  Hits         2830     2830           
  Misses        147      147           
Impacted Files Coverage Δ
skll/version.py 100.00% <100.00%> (ø)

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update bc5b003...388a6a4. Read the comment docs.