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