History¶
0.1.0 (2017-02-09)¶
- First non-official release.
0.1.1 (2017-02-23)¶
- add of several estimators : Random Forest, Extra Trees, Logistic Regression, …
- improvement in verbose mode for reader.
0.1.2 (2017-03-02)¶
- add of dropout for entity embeddings.
- improvement in optimiser.
0.2.0 (2017-03-22)¶
- add of feature importances for base learners.
- add of leak detection.
- add of stacking meta-model.
- improvement in verbose mode for optimiser (folds variance).
0.2.1 (2017-04-26)¶
- add of feature importances for bagging and boosting meta-models.
0.2.2 (first official release : 2017-06-13)¶
- update of dependencies (Keras 2.0,…).
- add of LightGBM model.
0.3.0 (2017-07-11)¶
- Python 2.7 & Python 3.4-3.6 compatibilities
0.3.1 (2017-07-12)¶
- Availability on PyPI.
0.4.0 (2017-07-18)¶
- add of pipeline memory.
0.4.1 (2017-07-21)¶
- improvement in verbose mode for reader (display missing values)
0.4.2 (2017-07-25)¶
- update of dependencies
0.4.3 (2017-07-26)¶
- improvement in verbose mode for predictor (display feature importances)
- wait until modules and engines are imported
0.4.4 (2017-08-04)¶
- pep8 style
- normalization of drift coefficients
- warning size of folder ‘save’
0.5.0 (2017-08-24)¶
- improvement in verbose mode
- add of new dates features
- add of a new strategy for missing categorical values
- new parallel computing
0.5.1 (2017-08-25)¶
- improvement in verbose mode for reader (display target quantiles for regression)
0.6.0 (2019-04-26)¶
- remove xgboost installation
0.7.0 (2019-06-26)¶
- add support for Mac OS & Windows
- update support for python versions
- improve setup
- add tests
- improve documentation & examples
- minor changes in the package architecture
0.8.0 (2019-07-29)¶
- remove support for python 2.7 version
0.8.1 (2019-08-29)¶
- add python 3.7 version
- update package dependencies
0.8.4 (2020-04-13)¶
- update package dependencies
0.8.5 (2020-08-25)¶
- minor fix (package dependencies)