New release v0.5

This release includes multiple features, improvements and bug fixes. Please refer to the changelog entry for a detailed list of changes.

Summary of changes

New features

Delayed labels for supervised learning

• Add support for delayed labels in streams and evaluations. Two new methods are available for this purpose:
  • TemporalDataStream to handle temporal data in a stream.
  • EvaluatePrequentialDelayed to perform experiments on streams with delayed data.

Regression

• Adaptive Random Forest Regressor
  Note: This implementation is slightly different from the original algorithm. The Hoeffding Tree Regressor is used as the base learner, instead of the FIMT-DD. It also adds a new strategy to monitor the incoming data and check for concept drifts. For more information, see the notes in the documentation.
• KNN implementation for regression.

Classification

• Streaming Random Patches ensemble method.

Drift detection

• HDDM_A, a drift detection method based on the Hoeffding’s bounds with moving average-test.
• HDDM_W, a drift detection method based on the Hoeffding’s bounds with moving weighted-average-test.
• KSWIN (Kolmogorov-Smirnov Windowing) concept drift detector.

Data generation

• The AnomalySineGenerator simulates anomalies in sine waves.

Transformers

• Two new transformers for feature scaling: WindowedMinmaxScaler and WindowedStandardScaler

Efficiency and enhancements

• Improve efficiency for metrics calculations (classification).
• Add support for multi-class metrics: precision, recall, F1-score, and G-mean.
• Reduce substantially the size of the package.
• Enhance handling of categorical attributes in Hoeffding Trees.
• Add bootstrap option in the Hoeffding Adaptive Tree classifier.

Bug fixes and API changes

This release includes a set of bug fixes and API changes. The most relevant API change is the renaming of multiple methods following a more consistent and informative naming convention. The full list of bug fixes and details of API changes is available in the changelog entry.

Python version

• Add support for Python 3.8.
• This is the last version that supports Python 3.5 as it is reaching its end-of-life date (2020-09-13).

Patch release note

New features and improvements were introduced in version 0.5.0. Version 0.5.3 only includes the fix for a bug that triggered an error in the conda-forge distribution files for Windows.