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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import time
import numpy as np
class Model:
def __init__(self, func_, nth_process, _main_args_):
self.func_ = func_
self.nth_process = nth_process
self.X = _main_args_.X
self.y = _main_args_.y
def train_model(self, para_dict):
start_time = time.time()
results = self.func_(para_dict, self.X, self.y)
eval_time = time.time() - start_time
if isinstance(results, tuple):
score = results[0]
model = results[1]
elif (
isinstance(results, float)
or isinstance(results, np.float64)
or isinstance(results, np.float32)
):
score = results
model = None
else:
print("Error: model function must return float or tuple")
return score, eval_time, model
model
score
SimonBlanke /
Hyperactive
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