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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from .general_optimizer import Optimizer
class Hyperactive:
def __init__(
self, X, y, random_state=None, verbosity=3, warnings=False, ext_warnings=False,
):
self.X = X
self.y = y
self.opt = Optimizer(
random_state=random_state,
verbosity=verbosity,
warnings=warnings,
ext_warnings=ext_warnings,
hyperactive=True,
)
def add_search(
self,
model,
search_space,
n_iter=10,
function_parameter=None,
optimizer="RandomSearch",
n_jobs=1,
init_para=[],
memory="short",
self.opt.add_search(
objective_function=model,
search_space=search_space,
function_parameter={"features": self.X, "target": self.y},
n_iter=n_iter,
optimizer=optimizer,
n_jobs=n_jobs,
init_para=init_para,
memory=memory,
def run(self, max_time=None):
self.opt.run(max_time=max_time)
self.position_results = self.opt.position_results
self.eval_times = self.opt.eval_times
self.iter_times = self.opt.iter_times
# self.best_para = self.search.results
# self.best_score = self.search.results
SimonBlanke /
Hyperactive
