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for finding and fixing issues
for empowering human code reviews
import numpy as np
from hyperactive import Hyperactive
from hyperactive.optimizers.strategies import CustomOptimizationStrategy
from hyperactive.optimizers import (
HillClimbingOptimizer,
RandomSearchOptimizer,
BayesianOptimizer,
)
opt_strat = CustomOptimizationStrategy()
opt_strat.add_optimizer(
RandomSearchOptimizer(), duration=0.5, early_stopping={"n_iter_no_change": 10}
HillClimbingOptimizer(), duration=0.5, early_stopping={"n_iter_no_change": 10}
def objective_function(opt):
score = -opt["x1"] * opt["x1"]
return score, {"additional stuff": 1}
search_space = {"x1": list(np.arange(-100, 101, 1))}
n_iter = 100
optimizer = opt_strat
hyper = Hyperactive()
hyper.add_search(
objective_function,
search_space,
n_iter=n_iter,
n_jobs=1,
optimizer=optimizer,
hyper.run()
SimonBlanke /
Hyperactive
