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/289487/8548490
asv svmfit.asv
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/289487/8548492
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/386050/8768955
m nu_svr.m
%NU_SVR Support Vector Classifier: NU algorithm
%
% [W,J,C] = NU_SVR(A,TYPE,PAR,C,SVR_TYPE,NU_EPS,MC,PD)
%
% INPUT
% A Dataset
% TYPE Type of the kernel (optional; default: 'p')
% PAR K
www.eeworm.com/read/428849/8834624
m svm2.m
function model = svm2(data,options)
% SVM2 Learning of binary SVM classifier with L2-soft margin.
%
% Synopsis:
% model = svm2(data)
% model = svm2(data,options)
%
% Description:
% This function le
www.eeworm.com/read/428269/8880170
asv svmfit.asv
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/428269/8880172
m svmfit.m
function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose)
%SVMFIT Fit SVM Gaussian classifier with adaptive scaling
% [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
www.eeworm.com/read/362246/10010088
m svm2.m
function model = svm2(data,options)
% SVM2 Learning of binary SVM classifier with L2-soft margin.
%
% Synopsis:
% model = svm2(data)
% model = svm2(data,options)
%
% Description:
% This function le
www.eeworm.com/read/357125/10215865
java rakelknn.java
package mulan.classifier;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Random;
import mulan.LabelSet;
import weka.core.Instance;
import weka.core.Instances;
import we