Comments (1)
Linear regression doesn't support error bar recalibration as it doesn't output error bars. If you want error bars, you'll need to make an ensemble of linear models. Do note that the recalibration file is optional for submission of a Foundry model with mastml
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Related Issues (20)
- Error bar documentation and values HOT 1
- Allow sklearn scoring object for MASTML Feature Selector
- Crashing with new CSV output update HOT 1
- Add complete error estimation framework
- Installation instructions HOT 2
- MAST-ML tutorial: Your first MAST-ML run HOT 1
- Leave out group fails if a group has 1 member in it HOT 1
- Dependencies should be added to setup.py HOT 1
- Learning Curve should output final selection of features, or maybe features at all steps?
- A runtime exception has occured HOT 3
- MAST-ML Installation HOT 2
- Your first MAST-ML run: " ValueError: 'X' and 'missing_values' types are expected to be both numerical. Got X.dtype=float64 and type(missing_values)=<class 'str'>. " HOT 7
- Some final TODO updates for EnsembleRegressor and RvE plots: HOT 1
- Nested cross validation HOT 1
- name 'Composition' is not defined HOT 1
- Suggestion HOT 1
- Splitter Issue HOT 2
- nested CV fails if X_extra is not included in splitter evaluate call HOT 1
- UQ Metrics to Consider
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