代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/399996/7816716
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/397099/8068804
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/245941/12770838
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/330850/12864848
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/317622/13500850
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/405069/11472198
m nddf.m
function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost)
% Classify using the normal density discriminant function
% Inputs:
% train_patterns - Train patterns
www.eeworm.com/read/132025/14113427
txt 数据挖掘中id3算法实现.txt
id3
function D = ID3(train_features, train_targets, params, region)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% params - [N
www.eeworm.com/read/199528/5076119
java linearclassifier.java
package edu.stanford.nlp.classify;
import java.util.*;
import java.text.*;
import edu.stanford.nlp.util.*;
import edu.stanford.nlp.dbm.*;
/** @author Dan Klein */
public class LinearClassifier imp
www.eeworm.com/read/175689/5343337
m detreeexp51.m
global data textdata numobs
load risk_proj4
%% 作散点图
gscatter(data(:,1),data(:,2),textdata(:,1),'rgb','osv');
xlabel('Age');
ylabel('Risk value');
linclass = classify(data(:,1:2),data(:,1:2)