mloopforml 0.1.0

Neural network surrogate hyperparameter optimization via a simple decorator

mloopforml

Neural network surrogate hyperparameter optimization via a simple decorator.

import mloopforml as mloop

@mloop.optimize(params={"lr": (0.001, 0.1)}, max_iterations=30, direction="maximize")
def train(lr):
    # your model training here
    return accuracy

result = train()
print(result.best_params, result.best_score)

Install

pip install mloopforml

Requirements

• Python >=3.11
• numpy >=2.0
• scipy >=1.15