ens_singlemodel.py

#Import single models
from sklearn.linear_model import LinearRegression, LogisticRegression
from sklearn.svm import SVR, SVC
from sklearn.neighbors import KNeighborsRegressor,KNeighborsClassifier

#Classification models
log_cf = LogisticRegression(solver='lbfgs', random_state=rand_seed)
svc_cf = SVC(gamma='scale', random_state=rand_seed)
knn_cf = KNeighborsClassifier()

classification_models = [log_cf, svc_cf, knn_cf]

#Regression models
linear_reg = LinearRegression()
svr_reg = SVR(gamma='scale')
knn_reg = KNeighborsRegressor()

regression_models = [linear_reg, svr_reg, knn_reg]