ens_stacking_train.py

#get data for regression task
target = german_cred['age_yrs']
data = german_cred.drop('age_yrs', axis=1)
data = standardize_data(data)

#first level learners
base_learners = [linear_reg, svr_reg, knn_reg]
#meta learner
meta_ln = svr_reg

pred = stackingModel(base_learners, meta_ln, data, target)

#check performance
print("MAE of Stacking Model is : ", get_mae(pred ,target))


#get data for classification task
target = german_cred['bad_credit']
data = german_cred.drop('bad_credit', axis=1)
data = standardize_data(data)

#first level learners
base_learners = [log_cf, svc_cf, knn_cf]
#meta learner
meta_ln = svc_cf

pred = stackingModel(base_learners, meta_ln, data, target)

#check performance
print("ACC of Stacking Model is : ", get_acc(pred ,target))