This repository has been archived by the owner on Jun 22, 2024. It is now read-only.
pyWATTS 0.3.1
Pre-release
Pre-release
0.3.0 - 2022-31-03
Added
- Add average module for pre-processing (#166)
- Metric can be calculated on cutouts (#149)
- Add custom scaler module for pre-processing (#167)
- Add a MASE Summary (#148)
- Add ensemble module for post-processing (#165)
- Online Start Feature (#189)
- Enable Multiple RefitConditions (#192)
- Periodic Refit Condition (#192)
- Add AnomalyGeneration modules (#195)
- Add get_min_data method in modules to enable them to specify how much data they need. (#147)
Changed
- Retraining is triggered after all steps are transformed (#117)
- The sklean-wrapper includes now methods based on the SelectorMixin (#185)
Fixed
- Try to handle non matching shapes in metrics. If not possible raise an exception. (#154)
- Fixed Sampler-module, samples now in forwarding direction (#174)
- Fixed wrong check of if summary should be returned in _run method of pipeline (#157)
- Fixed Pipeline.to_folder() for modules that store parameters in numpy format by adding a special JSON-encoder for types that are not json-serializable by default (#175)
- Added missing summaries to pywatts.summaries.init.py (#183)
- Naming in the Metric Summaries (#193)
- Fixed wrong time dimension name in ComputationMode.Transform (#199)
- Fixed online execution of subpipeline (#203)
- Enable to store a Keras Model with custom objects as custom loss functions (#17)
- Fixed online execution of stacked pipelines (#213)
Deprecated
Removed
- MAECalculator and RMSECalculator