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fix(MetaLabeling): previously misinterpreted meta-labeling, now also multiplying base model's prediction with the meta model's prediction (#193)

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* fix(MetaLabeling): previously misinterpreted meta-labeling, now also multiplying base model's prediction with the meta model's prediction

* fix(Evaluate): print results

* fix(Evaluate): make sure we have numerical stability in returns

* fix(Inference): only output and print stats in training mode

* fix(Evaluate): don't add miniscule amount to result
This commit is contained in:
Mark Aron Szulyovszky
2022-02-01 13:09:00 +01:00
committed by GitHub
parent 3eb3ea94e3
commit f85ee6bb9c
11 changed files with 61 additions and 46 deletions
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config/types.py
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@@ -57,6 +57,8 @@ class Config(BaseModel):
labeling: EventLabeller
no_of_classes: Literal['two', 'three-balanced', 'three-imbalanced']
mode: Literal['training', 'inference']
directional_models: list[Model]
meta_models: list[Model]