https://gpflowopt.readthedocs.io/en/latest/notebooks/hyperopt.html#Hyperparameter-optimization fromgpflowopt.domainimportContinuousParameterfromgpflowopt.objectiveimportbatch_apply#定义目标函数@batch_applydefobjectivefx(freq):m=create_model(freq)foriin[0]+[10**exponentforexponentinrange(6,1,-1)]:t...
Bayesian Optimization using GPflow. Contribute to GPflow/GPflowOpt development by creating an account on GitHub.
GPflowOpt是一个使用GPflow库实现贝叶斯优化的工具。贝叶斯优化通常用于在高维空间中无法直接求解的目标函数的全局最优化问题。与传统的优化方法相比,贝叶斯优化通过构建目标函数的高斯过程模型来近似真实函数,并在不断优化的过程中更新模型,从而在有限的样本数量下找到全局最优解。 GPflowOpt利用GPflow强大的高斯过程建模能力...
from gpflow.param import Parameterized, DataHolder, AutoFlow import numpy as np import tensorflow as tf float_type = settings.dtypes.float_type class DataTransform(Parameterized): """ Maps data in :class:`.Domain` U to :class:`.Domain` V. Useful for scaling of data between domains. """...