| Name | Version | Summary | date |
|---|---|---|---|
| eventdetector-ts | 1.1.0 | 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 accuracy by mitigating biases. The package supports practical implementation, excelling in detecting events with precision, validated across diverse domains. | 2023-11-28 15:31:31 |
| roerich | 0.6.0 | Change point detection. | 2023-07-17 10:48:39 |
| ruptures | 1.1.8 | Change point detection for signals in Python. | 2023-06-07 13:30:35 |
| hour | day | week | total |
|---|---|---|---|
| 74 | 1671 | 9420 | 219346 |