Published July 11, 2014
| Version v0.26.0
Software
Open
SciKit-Learn Laboratory (SKLL) 0.26.0
- 1. Educational Testing Service
- 2. University of Pittsburgh
Description
- Added AdaBoost and KNeighbors classifiers and regressors (finally closing #7).
- Added support for kernel approximation samplers. (Thanks @nineil)
- All linear models are now supported by print_model_weights (issue #119).
- Added f1_score_weighted metric so that weighted F1 will be calculated even for binary classification tasks.
- Modified f1_score_micro and f1_score_macro to also always return average for binary classification tasks (instead of previous behavior where only performance on positive class was returned).
Files
skll-v0.26.0.zip
Files
(127.1 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/EducationalTestingService/skll/tree/v0.26.0 (URL)