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.
In
FastTree,Feature Flocksare simply helpful tools in the calculation and do not impact the final model. WhenGAMsare trained however, the final model is dependent on theFeature 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 ofGAMtraining should not depend on whether feature flocks were used in the calculation.