代码搜索：classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/149739/12352679
m labeld.m
%LABELD Find labels of classification dataset (perform crisp classification)
%
% LABELS = LABELD(Z)
% LABELS = Z*LABELD
% LABELS = LABELD(A,W)
% LABELS = A*W*LABELD
% LABELS = LABELD(Z,THRE
www.eeworm.com/read/149739/12352863
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(A)
%
% Returns the classification cost matrix as defined for the dataset A.
% An empty cost matrix is interpreted as equal costs f
www.eeworm.com/read/149739/12353650
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(W)
%
% Returns the classification cost matrix as set in the classifier W.
% An empty cost matrix is interpreted as equal costs for
www.eeworm.com/read/336977/12403621
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/148789/12425771
r rvm.r
setGeneric("rvm", function(x, ...) standardGeneric("rvm"))
setMethod("rvm",signature(x="formula"),
function (x, data=NULL, ..., subset, na.action = na.omit){
call
www.eeworm.com/read/148789/12425804
r gausspr.r
setGeneric("gausspr", function(x, ...) standardGeneric("gausspr"))
setMethod("gausspr",signature(x="formula"),
function (x, data=NULL, ..., subset, na.action = na.omit){
call
www.eeworm.com/read/131090/14161599
cla rules3.cla
classification
3 2
0
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 0.0 3.0 3.0 6.0
1
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 1.0 4.0 4.0 7.0
2
x trapezoid 1.0 4.0 4.0 7.0
y trapezoid 1.0 4.0 4.0 7.0
www.eeworm.com/read/131090/14161630
cla rule4.cla
classification
4 2
0
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 0.0 3.0 3.0 6.0
1
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 1.0 4.0 4.0 7.0
2
x trapezoid 1.0 4.0 4.0 7.0
y trapezoid 1.0 4.0 4.0 7.0
3
www.eeworm.com/read/130671/14179024
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/130042/14210434
java catonetestresult.java
package shared;
import java.lang.*;
/** This object contains the result information on one instance passed through
* an inducer.
* @author James Louis 12/08/2000 Ported to Java.
*/
public