sktime/sktime v0.4.0

on GitHub

What's New:

Added

• 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

Changed

• Revised all estimators to comply with common interface and to ensure scikit-learn compatibility

Removed

• A few redundant classes for the series-as-features setting in favour of scikit-learn's implementations: Pipeline and GridSearchCV
• HomogeneousColumnEnsembleClassifier in favour of more flexible ColumnEnsembleClassifier

Fixed

• Deprecation and future warnings from scikit-learn
• User warnings from statsmodels