* Pass cache to detect
* rename AnalyticUnitCache to ModelCache
* Send .data from cache
* Drop nans from bucket && set window size from cache && check cache None
* Read proper payload on DETECT message
- Subtract min value from dataset before passing to model
- Rename StepModel -> DropModel
- Use cache to save state in all models
- Return `Segment { 'from': <timestamp>, 'to': <timestamp>}` instead of `Segment { 'from': <index>, 'to': <index>}` in all models
- Integrate new peaks model (from https://github.com/hastic/hastic-server/pull/123)
- Integrate new reverse-peaks model (from https://github.com/hastic/hastic-server/pull/123)
- Refactor: make `predict` method in `Model` not abstract and remove it from all children
- Refactor: add abstract `do_predict` method to models
* Create abstract model class
* Move detectors/*_detector -> models/*_model
* Update Model class
* Change detectors to models and move fields to self.state
* Use models instead of detectors in PatternDetector
* Update inits in detectors/ and models/
* Add types to resolve_model_by_pattern
* Add types to abstract Model class
Alexander Velikiy
rozetko