代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
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www.eeworm.com/read/287127/4026744
h pgpfiletype.h
/*
* pgpFileType.h - classify files
*
* $Id: pgpFileType.h,v 1.10 1997/12/01 19:35:17 lloyd Exp $
*/
#ifndef Included_pgpFileType_h
#define Included_pgpFileType_h
#include "pgpBase.h"
www.eeworm.com/read/428780/1954011
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)
www.eeworm.com/read/386597/2570130
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/380530/2657693
h pgpfiletype.h
/*
* pgpFileType.h - classify files
*
* $Id: pgpFileType.h,v 1.3 2001/01/25 22:11:56 jeffc Exp $
*/
#ifndef Included_pgpFileType_h
#define Included_pgpFileType_h
#include "pgpBase.h"
www.eeworm.com/read/354521/3077758
h pgpfiletype.h
/*
* pgpFileType.h - classify files
*
* $Id: pgpFileType.h,v 1.3 2001/01/25 22:11:56 jeffc Exp $
*/
#ifndef Included_pgpFileType_h
#define Included_pgpFileType_h
#include "pgpBase.h"
www.eeworm.com/read/261925/4319259
procmailrc
MAILDIR=/home/cashew/popiel/Mail
HOME=/home/cashew/popiel
# Classify message (up here so all copies have the classification)
:0fw:
| /usr/bin/python2.2 $HOME/spambayes/active/spambayes/hammiefilter.p
www.eeworm.com/read/258893/4349342
h pgpfiletype.h
/*
* pgpFileType.h - classify files
*
* $Id: pgpFileType.h,v 1.10 1997/12/01 19:35:17 lloyd Exp $
*/
#ifndef Included_pgpFileType_h
#define Included_pgpFileType_h
#include "pgpBase.h"
www.eeworm.com/read/474600/6813446
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/191902/8417090
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/286662/8751945
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa