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)