Genetic Selection CV

from sklearn import linear_model
from sklearn.ensemble import RandomForestRegressor

from genetic_selection import GeneticSelectionCV
estimator = linear_model.LinearRegression()

selector = GeneticSelectionCV(estimator,cv=5,
                                  verbose=1,
                                  scoring="r2", 
                                  max_features=10,
                                  n_population=50,
                                  crossover_proba=0.5,
                                  mutation_proba=0.2,
                                  n_generations=40,
                                  crossover_independent_proba=0.5,
                                  mutation_independent_proba=0.05,
                                  tournament_size=3,
                                  n_gen_no_change=10,
                                  caching=True,
                                  n_jobs=-1)
selector = selector.fit(x_train, y_train)