set_params.m
来自「贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型」· M 代码 · 共 16 行
M
16 行
function engine = set_params(engine, varargin)
% SET_PARAMS Modify parameters of the inference engine
% engine = set_params(engine, 'param1',val1, 'param2',val2, ...)
%
% Parameter names are listed below.
%
% max_iter - max. num. iterations
% momentum - weight assigned to old message in convex combination
% (useful for damping oscillations)
% tol - tolerance used to assess convergence
% verbose - 1 means print error at every iteration [0]
[engine.max_iter, engine.momentum, engine.tol, engine.verbose] = ...
process_options('max_iter', engine.max_iter, 'momentum', engine.momentum, ...
'tol', engine.tol, 'verbose', engine.verbose);
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?