代码搜索：Solver
找到约 5,733 项符合「Solver」的源代码
代码结果 5,733
www.eeworm.com/read/362246/10010074
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/280595/10311825
m~ evalsvm.m~
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/280595/10311834
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/299459/7850370
m~ evalsvm.m~
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/299459/7850383
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/296909/8072717
m solve.m
function [res] = solve(prob)
% GPPROBLEM/SOLVE solves a geometric programming optimization problem.
%
% prob: gpproblem object
%
% get the global setting for the preferred GP solver (default is
www.eeworm.com/read/312163/13617427
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/150760/12265756
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/213492/15133662
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev
www.eeworm.com/read/411674/11233723
m evalsvm.m
function [best_model,Errors] = evalsvm(arg1,arg2,arg3)
% EVALSVM Trains and evaluates Support Vector Machines classifier.
%
% Synopsis:
% [model,Errors] = evalsvm(data,options)
% [model,Errors] = ev