代码搜索：validation
找到约 7,219 项符合「validation」的源代码
代码结果 7,219
www.eeworm.com/read/102391/15784457
sub config.sub
#! /bin/sh
# Configuration validation subroutine script.
# Copyright (C) 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999,
# 2000, 2001, 2002 Free Software Foundation, Inc.
timestamp='2002-07-03'
www.eeworm.com/read/102154/15792512
sub config.sub
#! /bin/sh
# Configuration validation subroutine script, version 1.1.
# Copyright (C) 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000
# Free Software Foundation, Inc.
version='2000-07-27'
#
www.eeworm.com/read/100415/15874084
sub config.sub
#! /bin/sh
# Configuration validation subroutine script, version 1.1.
# Copyright (C) 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000
# Free Software Foundation, Inc.
version='2000-07-06'
#
www.eeworm.com/read/188811/8514289
java uploadvalidator.java
package org.zilverline.web;
import java.util.Iterator;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.validation.Errors;
imp
www.eeworm.com/read/289488/8548389
m exsvmroc2.m
function exsvmroc2(data,margin,kppv,Cvec,kerneloptionvec);
%
% code for big cross-validation procedure for
% SVM-ROC on real data.
%
%
% 30/07/2004 A. Rakotomamonjy
% clear all
% close all
% d
www.eeworm.com/read/375212/9369123
m pcrcvblk.m
function [press,cumpress,minpc,b,p,qlim,t2lim,tvar] = pcrcvblk(x,y,split,pc,np,mc)
%PCRCVBLK Cross validation for PCR models using contiguous blocks
% Inputs are the matrix of predictor variables (
www.eeworm.com/read/375212/9369211
m pcrcvbg.m
function [press,cumpress,minpc,b,p,qlim,t2lim,tvar] = pcrcvbg(x,y,split,pc,np,mc,gui,action)
%PCRCVBG Cross validation for PCR with contiguous blocks for use by MODLGUI
% Copyright
% Eigenvector
www.eeworm.com/read/373081/9475876
m sub_pls_val.m
function PLSmodel = sub_pls_val(X,Y,no_of_lv,prepro_method,val_method,segments);
% sub_pls_val for PLS modelling with selected validation method
%
% Input:
% X contains the independent variab
www.eeworm.com/read/424116/10491277
m sub_pls_val.m
function PLSmodel = sub_pls_val(X,Y,no_of_lv,prepro_method,val_method,segments);
% sub_pls_val for PLS modelling with selected validation method
%
% Input:
% X contains the independent variab
www.eeworm.com/read/417741/10977093
java cvlearningcurve.java
package ir.classifiers;
import java.io.*;
import java.util.*;
import ir.vsr.*;
import ir.utilities.*;
/**
* Gives learning curves with K-fold cross validation for a classifier.
*
* @author