代码搜索：train
找到约 10,000 项符合「train」的源代码
代码结果 10,000
www.eeworm.com/read/188827/8512626
opt train.opt
www.eeworm.com/read/188827/8512646
dsp train.dsp
# Microsoft Developer Studio Project File - Name="train" - Package Owner=
# Microsoft Developer Studio Generated Build File, Format Version 6.00
# ** DO NOT EDIT **
# TARGTYPE "Win32 (x86) App
www.eeworm.com/read/188827/8512727
rc train.rc
//Microsoft Developer Studio generated resource script.
//
#include "resource.h"
#define APSTUDIO_READONLY_SYMBOLS
/////////////////////////////////////////////////////////////////////////////
www.eeworm.com/read/188827/8512738
ncb train.ncb
www.eeworm.com/read/188827/8512739
aps train.aps
www.eeworm.com/read/188827/8512769
clw train.clw
; CLW file contains information for the MFC ClassWizard
[General Info]
Version=1
LastClass=CSampleDataSet
LastTemplate=CDaoRecordset
NewFileInclude1=#include "stdafx.h"
NewFileInclude2=#includ
www.eeworm.com/read/188827/8512788
dsw train.dsw
Microsoft Developer Studio Workspace File, Format Version 6.00
# WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE!
###############################################################################
www.eeworm.com/read/289680/8534976
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a support vector classifier network using the specified tutor.
%
% load data/iris x y;
%
% C = 100;
% kernel = r
www.eeworm.com/read/289680/8535008
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a max-win multi-class support vector classifier network using the
% specified tutor to train each component two-class network.
%
www.eeworm.com/read/289680/8535103
m train.m
function net = train(tutor, x, y, C, kernel, zeta, net)
% TRAIN
%
% Train a support vector classification network, using the sequential minimal
% optimisation algorithm.
%
% net = train(tut