skll: SKLL 1.1.0
Creators
- 1. Parse.ly
- 2. Educational Testing Service
- 3. Bitdeli
Description
Base estimators other than default are not supported for AdaBoost(#238)
Need cv_folds option(#222)
Remove decision tree and random forest learners from requires_dense set(#207)
stratification during cross-validation should be optional (#160)
Bug when checking if hasher_features is a valid option(#234)
need to improve the way to check the validity of configuration file(#223)
Stop modifying global numpy random seed(#220)
Config file paths are relative to current working directory instead of config file location(#213)
cannot import name BaseLibLinear(#241)1)
a line causing an error(#236)
Changes based on big LibLinear refactoring in scikit-learn(#235)
skll breaks importing missing class BaseLibLinear with scikit-learn 0.16(#233)
Learner.model_params will return weights with the wrong sign if sklearn is fixed (#111)
Overhaul configuration file parsing (@desilinguist, #246)
Several minor bugfixes (@desilinguist, #245)
Compatibility with scikit-learn v0.16.1 (@desilinguist, #243)
Expose cv_folds and stratified (@aoifecahill, #240)
Adding Report tests (@brianray, #237)
Files
skll-v1.1.0.zip
Files
(185.7 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/EducationalTestingService/skll/tree/v1.1.0 (URL)