This release has some big behind-the-scenes changes. First, we split the data.py module up into a sub-package (#147). There is also a new FeatureSet class that replaces the old namedtuple-based ExamplesTuple (#81), so ExamplesTuple is now deprecated and will be removed in SKLL 1.0.0. Speaking of which, we're having an all-day SKLL sprint on the October 17th where we hope to resolve all the remaining issues preventing the 1.0 release. Other changes include: Fixed a bunch of minor problems with loading/writing LibSVM files Added file reading/writing progress indicators Fixed crash with generate_predictions when the model was not trained with probability set to True (#144). Deprecated write_feature_file function in favor of using a Fea...
We're happy to announce the 1.1.0 release. You can read the release highlights under https://scikit-...
We're happy to announce the 0.23 release. You can read the release highlights under https://scikit-l...
We're happy to announce the 0.22 release. You can read the release highlights under https://scikit-l...
The main new feature in this release is that .libsvm files are now fully supported by skll_convert a...
The 1.0 release is finally here! It's been a little over a year since our first public release, and ...
This is a somewhat major release that includes major changes as well as a number of bugfixes. Chang...
The 1.0 release is finally here! It's been a little over a year since our first public release, and ...
This release includes a long-standing request being finally fulfilled (part of #7). We now support S...
Implemented enhancements Base estimators other than default are not supported for AdaBoost(#238) N...
Bug fix release that fixes issue where python setup.py install would not work because the skll.data ...
This is a fairly minor bugfix release. Changes include: Update links in README. Fix crash when ...
This release adds support for scikit-learn 1.1, which includes more informative error messages. Supp...
We're happy to announce the 1.2.0 release. You can read the release highlights under https://scikit-...
We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-le...
Fixes a minor bug in the CustomLibrary class for earlier releases of Scikit-learn (e.g. 0.21). Sciki...
We're happy to announce the 1.1.0 release. You can read the release highlights under https://scikit-...
We're happy to announce the 0.23 release. You can read the release highlights under https://scikit-l...
We're happy to announce the 0.22 release. You can read the release highlights under https://scikit-l...
The main new feature in this release is that .libsvm files are now fully supported by skll_convert a...
The 1.0 release is finally here! It's been a little over a year since our first public release, and ...
This is a somewhat major release that includes major changes as well as a number of bugfixes. Chang...
The 1.0 release is finally here! It's been a little over a year since our first public release, and ...
This release includes a long-standing request being finally fulfilled (part of #7). We now support S...
Implemented enhancements Base estimators other than default are not supported for AdaBoost(#238) N...
Bug fix release that fixes issue where python setup.py install would not work because the skll.data ...
This is a fairly minor bugfix release. Changes include: Update links in README. Fix crash when ...
This release adds support for scikit-learn 1.1, which includes more informative error messages. Supp...
We're happy to announce the 1.2.0 release. You can read the release highlights under https://scikit-...
We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-le...
Fixes a minor bug in the CustomLibrary class for earlier releases of Scikit-learn (e.g. 0.21). Sciki...
We're happy to announce the 1.1.0 release. You can read the release highlights under https://scikit-...
We're happy to announce the 0.23 release. You can read the release highlights under https://scikit-l...
We're happy to announce the 0.22 release. You can read the release highlights under https://scikit-l...