Wildboar

Latest version: v1.1.4

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1.0.5

Added

* Add `MajorityLabeler` to construct synthetic outlier datasets

Fixed

* Fix bug in `IsolationShapeletForest` where `max_depth` was incorrectly computed

1.0.4

Added
* Model agnostic counterfactual explanations has been added.
* Shapelet forest counterfactual explanations has been refined.
* KNearestNeighbors counterfactual explanations has been refined.
* Synthetic generation of outlier detection datasets.
* IsolationShapeletForest has been added. A novel semi-supervised method for detecting
time series outliers.
* Fast computation of scaled and unscaled dynamic time warping (using the UCRSuite algorithm).
* LB_Keogh lower bound and envelope.
* Add new class `Repository` which represents a collection of bundles
* `datasets.set_cache_dir` to globally change the default cache directory
* `datasets.clear_cache` to clear the cache

Deprecated

* `datasets.load_all_datasets` has been replaced by `load_datasets`

Changed

* `wildboar.datasets.install_repository` now installs a repository instead of a bundle
* Rename `Repository` to `Bundle`

1.0.3

Added

* Added a counterfactual explainability module

1.0.2

Fixes

* Binary builds for GNU/Linux

0.3.4

Changed

* Complete rewrite of the shapelet tree representation to allow releasing GIL.
The prediction of trees should be backwards compatible, i.e., trees fitted using
the new versions are functionally equivalent to the old but with another internal
representation.

0.3.3

Fixes

* Binary builds

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