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EventDetector introduces a universal event detection method for multivariate time series. Unlike traditional deep-learning methods, it's regression-based, requiring only reference events. The robust stacked ensemble, from Feed-Forward Neural Networks to Transformers, ensures accu
pip install eventdetector-ts
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
eventdetector-ts publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .