for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from .bayesian_optimization import BayesianOptimizer
from .surrogate_models import EnsembleRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn.neural_network import MLPRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.svm import SVR
from sklearn.gaussian_process import GaussianProcessRegressor
class EnsembleOptimizer(BayesianOptimizer):
def __init__(
self,
search_space,
estimators=[
GradientBoostingRegressor(n_estimators=10),
SVR(),
DecisionTreeRegressor(),
GaussianProcessRegressor(),
],
):
super().__init__(search_space)
self.regr = EnsembleRegressor(estimators)
SimonBlanke /
Gradient-Free-Optimizers
