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/331422/12829720
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by 仿射密码.rc
//
#define IDM_ABOUTBOX 0x0010
#define IDD_ABOUTBOX 100
#defi
www.eeworm.com/read/17191/721673
cs videoconvert.cs
using System.Web;
using System.Configuration;
//if (this.fload.HasFile)
//{
// string upFileName = HttpContext.Current.Server.MapPath("~/savefile") + "\\" + this.fload.PostedFile.FileName;
/
www.eeworm.com/read/186502/8929839
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by SaveFile.rc
//
#define IDD_ABOUTBOX 100
#define IDR_MAINFRAME 128
#def
www.eeworm.com/read/314169/3640295
java fileinfodao.java
package com.ORM;
import java.util.*;
import org.hibernate.*;
public class FileInfoDAO implements IFileInfoDAO {
public void saveFile(FileInfo fileinfo) {
Session session=HibernateSession
www.eeworm.com/read/200886/15420943
m trainmccpm.m
function [allStates lastState it updates iterTime G] = trainMCCPM(...
G,samplesMat,updates,state,FP,saveFile)
%%% use MCMC on our Bayesian, Hierarchical CPM
%% I think it makes most sense to sam
www.eeworm.com/read/143453/12874741
m nu_linearsvc_train.m
function [output]=nu_LinearSVC_Train(data, savefile, C, nu, options)
%options: options.crossvalidation=0 if crossvalidation is not needed.
% otherwise, options.crossvalidation=v(v>=2) for a
www.eeworm.com/read/143453/12874754
m one_rbfsvc_train.m
function [output]=one_RbfSVC_Train(data, savefile, gamma, nu, options)
%options: options.crossvalidation=0 if crossvalidation is not needed.
% otherwise, options.crossvalidation=v(v>=2) for
www.eeworm.com/read/186502/8929825
cpp savefileview.cpp
// SaveFileView.cpp : implementation of the CSaveFileView class
//
#include "stdafx.h"
#include "SaveFile.h"
#include "SaveFileDoc.h"
#include "SaveFileView.h"
#ifdef _DEBUG
#define new D
www.eeworm.com/read/351635/10633982
h windowtv.h
#ifndef WINDOWTV_H
#define WINDOWTV_H
#include
class WindowTV : public QWidget
{
Q_OBJECT
public:
WindowTV();
private:
QFile file;
void readFile();
void saveFile();
QSe
www.eeworm.com/read/143453/12874728
m linearsvc_train.m
function [output]=LinearSVC_Train(data, savefile, C, options)
%options: options.crossvalidation=0 if crossvalidation is not needed.
% otherwise, options.crossvalidation=v(v>=2) for a v-fold