代码搜索:saveFile

找到约 1,013 项符合「saveFile」的源代码

代码结果 1,013
www.eeworm.com/read/143453/12874762

m polysvc_train.m

function [output]=PolySVC_Train(data, savefile, C, gamma, degree, coef0, options) %options: options.crossvalidation=0 if crossvalidation is not needed. % otherwise, options.crossvalidation=v
www.eeworm.com/read/100047/6274295

cpp save.cpp

#include "save.h" #include "webemail.h" #include "attachments.h" #include "delete.h" #include void savefile() { char *env; int number; passwd *info; FILE *in
www.eeworm.com/read/100047/6274304

h save.h

#include #ifndef _save_h #define _save_h void savefile(); void dissaved(); void showsaved(); void deletesaved(); void multidelsaved(); void multideletemailsaved(vector& todel); void sho
www.eeworm.com/read/314169/3640292

java ifileinfodao.java

// Create By Jack, May 7, 2008 package com.ORM; import java.util.List; public interface IFileInfoDAO { public void saveFile(FileInfo fileinfo); public FileInfo loadFile(Integer fileID);
www.eeworm.com/read/294868/8197061

c saveload.c

#ifndef _SAVELOAD_ #define_SAVELOAD_ void saveFile() { FILE *fp; int i; if((fp=fopen("booking.dat","wb"))==NULL) { printf("cannot open file\n"); return; } fwrite(&lengt
www.eeworm.com/read/186502/8929797

cpp savefiledoc.cpp

// SaveFileDoc.cpp : implementation of the CSaveFileDoc class // #include "stdafx.h" #include "SaveFile.h" #include "SaveFileDoc.h" #ifdef _DEBUG #define new DEBUG_NEW #undef THIS_FILE
www.eeworm.com/read/182266/9209660

asp uploadfile_inc.asp

www.eeworm.com/read/143453/12874721

m nu_polysvc_train.m

function [output]=nu_PolySVC_Train(data, savefile, C, gamma, degree, coef0, nu, options) %options: options.crossvalidation=0 if crossvalidation is not needed. % otherwise, options.crossvalid
www.eeworm.com/read/143453/12874737

m nu_sigmsvc_train.m

function [output]=nu_SigmSVC_Train(data, savefile, C, gamma, coef0, nu, options) %options: options.crossvalidation=0 if crossvalidation is not needed. % otherwise, options.crossvalidation=v(
www.eeworm.com/read/143453/12874748

m rbfsvc_train.m

function [output]=RbfSVC_Train(data, savefile, C, gamma, options) %options: options.crossvalidation=0 if crossvalidation is not needed. % otherwise, options.crossvalidation=v(v>=2) for a v-f