8 #include "../model/ml.h"
10 #include "../opt/auto_backprop.h"
11 #include "../opt/hillclimb.h"
51 void validation(vector<Individual>& individuals,
54 bool offspring =
false
58 void fitness(vector<Individual>& individuals,
61 bool offspring =
false
65 float marginal_fairness(VectorXf& loss,
const Data& d,
66 float base_score,
bool use_alpha=
false);
70 const shared_ptr<CLabels>& yhat,
data holding X, y, and Z data
evaluation mixin class for Feat
individual programs in the population
holds the hyperparameters for Feat.