代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
代码结果 4,824
www.eeworm.com/read/493294/6400241
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/482915/6616178
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input into
www.eeworm.com/read/400577/11572971
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/260625/11716719
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input into
www.eeworm.com/read/342008/12046835
m perlc.m
%PERLC Linear classifier by linear perceptron
%
% W1 = perlc(A,n,step,w)
%
% Finds the linear discriminant function W1 (a mapping) by n cycles
% of the data through the linear perceptron with ste
www.eeworm.com/read/342008/12047005
m normal_map.m
%NORMAL_MAP Map a dataset on a normal densities based classifier
%
% F = normal_map(A,W)
%
% Maps the dataset A by the normal densities based classfier W on a
% [0,1] interval for each of the clas
www.eeworm.com/read/342008/12047344
m mapping.m
%MAPPING Mapping class constructor
%
% w = mapping(map,d,lablist,k,c,v,par)
%
% A map/classifier object is constructed from:
% d size (any), a set of weights defining the mapping
% lablist size
www.eeworm.com/read/255755/12057877
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/150905/12249104
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/252978/12252017
java knn.java
package learner;
public class Knn implements Classifier {
int k;
Data data;
Knn(Data data, int k) {
this.data = data;
this.k = k;
}
public double test(Datastructure[] testdata