All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog and we adhere to Semantic Versioning.
We keep track of changes in this file since v0.4.0.
- Forecasting framework, including: forecasting algorithms (forecasters), tools for composite model building (meta-forecasters), tuning and model evaluation
- Consistent unit testing of all estimators
- Consistent input checks
- Enforced PEP8 linting via flake8
- Changelog
- Support for Python 3.8
- Support for manylinux wheels
- Revised all estimators to comply with common interface and to ensure scikit-learn compatibility
- A few redundant classes for the series-as-features setting in favour of scikit-learn's implementations:
PipelineandGridSearchCV HomogeneousColumnEnsembleClassifierin favour of more flexibleColumnEnsembleClassifier
- Deprecation and future warnings from scikit-learn
- User warnings from statsmodels