代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/398324/7994215
m svc.m
function net = svc(arg, sv, w, bias)
% SVC
%
% Construct a support vector classification (SVC) network object.
%
% Examples:
%
% % default constructor (linear, hardmargin SVC with no suppo
www.eeworm.com/read/398324/7994449
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/398324/7994610
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/397122/8065929
m code_ecoc.m
function [codebook,scheme] = code_ECOC(m,dist,distfct)
% Generate the codebook for multiclass classification with Error Correcting Output encoding if feasible.
%
% function coding the multiple classes
www.eeworm.com/read/397102/8067988
m gendats.m
%GENDATS Generation of a simple classification problem
%
% A = gendats(na,nb,k,d)
%
% Generation of a two class k dimensional dataset A. Both classes
% are Gaussian distributed with identy matrix
www.eeworm.com/read/245176/12813154
m svc.m
function net = svc(arg, sv, w, bias)
% SVC
%
% Construct a support vector classification (SVC) network object.
%
% Examples:
%
% % default constructor (linear, hardmargin SVC with no suppo
www.eeworm.com/read/245176/12813324
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/331336/12832666
m code_ecoc.m
function [codebook,scheme] = code_ECOC(m,dist,distfct)
% Generate the codebook for multiclass classification with Error Correcting Output encoding if feasible.
%
% function coding the multiple classes
www.eeworm.com/read/143706/12849502
m conffig.m
function fh=conffig(y, t)
%CONFFIG Display a confusion matrix.
%
% Description
% CONFFIG(Y, T) displays the confusion matrix and classification
% performance for the predictions mat{y} compared with
www.eeworm.com/read/140851/13058948
m conffig.m
function fh=conffig(y, t)
%CONFFIG Display a confusion matrix.
%
% Description
% CONFFIG(Y, T) displays the confusion matrix and classification
% performance for the predictions mat{y} compared