#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : qichun tang
# @Contact : qichun.tang@bupt.edu.cn
import numpy as np
from ultraopt.optimizer.base_opt import BaseOptimizer
[文档]class RandomOptimizer(BaseOptimizer):
def _new_result(self, budget, vectors: np.ndarray, losses: np.ndarray):
pass
def _get_config(self, budget, max_budget):
return self.pick_random_initial_config(budget, origin="Random Search")
[文档] def get_available_max_budget(self):
for budget in reversed(sorted(self.budgets)):
if self.budget2obvs[budget]["losses"]:
return budget
return self.budgets[0]