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v1.0.0

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@sfluegel05 sfluegel05 released this 10 Jul 12:49
· 82 commits to dev since this release

Initial release. This contains a basic ensemble implementation for three model types:

Aggregation is Weighted Majority Voting (WMV) based on

  • binary classification (either positive or negative, according to 0.5 threshold)) -> only using this would constitute majority voting
  • confidence (distance of prediction from threshold)
  • model weight (use case: set a higher weight for ChemLog since a rule-based classification is more trustworthy than an ML model)
  • trust (based on f1-score on validation set)