Version 0.1.9

  • Add support for python 3.6

  • Fix loading of country code column for model selector

  • Improve compatibility with sktime

Version 0.1.8

  • Add before_days, after_days, bridge_days features to the holiday transformer for better modeling of after, before and between holiday effects

  • Add Theta model

Version 0.1.7

  • Add support for simultaneous usage of multiple holidays

  • Add progress bars for model selection

  • Improve plotting

  • Column names created by Seasonality and Holiday transformers start with _ to prevent name clashes

Version 0.1.6

  • Fix country column handling in ModelSelector

  • Improved experience of trying examples through Binder (pre-cached docker image)

  • Adding templates for GitHub issues

Version 0.1.5

  • More informative error messages when trying to use wrappers without installed dependent packages

  • Updating examples and dependencies to enable wider usage with core installation

Version 0.1.4

  • Adding Windows distribution

  • Other internal fixes (CI, CD, conda distribution, pre-commit, code cleanup, test coverage)

Version 0.1.3

  • Python packaging fixes

Version 0.1.0

  • A time-series forecasting library developed by the data science team of Heidelbergcement using a scikit-learn compatible API and popular ML libraries as backend

  • First public release