Wildboar

Latest version: v1.2.1

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1.0.7

Added

* Add `filter` keyword-argument to `datasets.load_datasets`

1.0.6

Fixed

* Fix bug in source distribution

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* `datasets.load_all_datasets` has been replaced by `load_datasets`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

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