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/188811/8514269
java collectionmanagervalidator.java
/*
* Copyright 2003-2004 Michael Franken, Zilverline.
*
* The contents of this file, or the files included with this file, are subject to
* the current version of ZILVERLINE Collaborative Sour
www.eeworm.com/read/188811/8514307
java searchservicevalidator.java
/*
* Copyright 2003-2004 Michael Franken, Zilverline.
*
* The contents of this file, or the files included with this file, are subject to
* the current version of ZILVERLINE Collaborative Sour
www.eeworm.com/read/188512/8532880
h time.h
// Fig. 9.8: Time.h
// Declaration of class Time.
// Member functions defined in Time.cpp.
// prevent multiple inclusions of header file
#ifndef TIME_H
#define TIME_H
// Time abstract data t
www.eeworm.com/read/188133/8569887
html mvr.html
R: Partial Least Squares and Principal Component Regression
www.eeworm.com/read/188133/8569952
html summary.mvr.html
R: Summary and Print Methods for PLSR and PCR objects
www.eeworm.com/read/388439/8609093
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz
www.eeworm.com/read/288527/8626170
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz
www.eeworm.com/read/179775/9339488
html 06-02.html
APPLIED CRYPTOGRAPHY, SECOND EDITION: Protocols, Algorithms, and Source Code in C:Esoteric Protocols
www.eeworm.com/read/375212/9369007
m contents.m
% PLS_Toolbox.
% Version 1.5.1 22-October-95
% Copyright (c) 1995 by Eigenvector Technologies
% Barry M. Wise and Neal B. Gallagher
%
% Data Scaling and Preprocessing.
% auto - Autoscales
www.eeworm.com/read/177981/9424904
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz