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Models produced by the GAM Trainer depend on feature flocks #2167
Description
In FastTree, Feature Flocks are simply helpful tools in the calculation and do not impact the final model. When GAMs are trained however, the final model is dependent on the Feature Flocks. That is, if there are 6 features, and two are flocked, then the resulting model will have 5 shape functions and one of the input features will be ignored.
As per FastTree, the output of GAM training should not depend on whether feature flocks were used in the calculation.
Activity
matouskozak commentedon Oct 23, 2026
I've tried to reproduce the bug with ML.NET 5.0.1 and it wasn't present. I'll close this as outdated, please file a new issue with a repro if you hit this issue again.