代码搜索：Cross-Validation
找到约 269 项符合「Cross-Validation」的源代码
代码结果 269
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/161855/10361015
1 mailcross.1
\" t
.TH MAILCROSS 1 "Bayesian Text Classification Tools" "Version 1.3" ""
.SH NAME
mailcross \- a cross-validation tester for use with dbacl.
.SH SYNOPSIS
.HP
.B mailcross
.I command
[
.I command_a
www.eeworm.com/read/323831/13313960
h kfold.h
// Copyright (C) 2003 Ronan Collobert (collober@idiap.ch)
// and Samy Bengio (bengio@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
www.eeworm.com/read/489609/6466710
rd crossval.rd
%% $Id: crossval.Rd 142 2007-10-01 13:10:25Z bhm $
\encoding{latin1}
\name{crossval}
\alias{crossval}
\title{Cross-validation of PLSR and PCR models}
\description{
A \dQuote{stand alone} cross-valid
www.eeworm.com/read/130491/14189848
1 mailcross.1
\" t
.TH MAILCROSS 1 "Bayesian Text Classification Tools" "Version 1.3" ""
.SH NAME
mailcross \- a cross-validation tester for use with dbacl.
.SH SYNOPSIS
.HP
.B mailcross
.I command
[
.I command_a
www.eeworm.com/read/249499/12491190
rd crossval.rd
%% $Id: crossval.Rd 142 2007-10-01 13:10:25Z bhm $
\encoding{latin1}
\name{crossval}
\alias{crossval}
\title{Cross-validation of PLSR and PCR models}
\description{
A \dQuote{stand alone} cross-valid
www.eeworm.com/read/236062/14034066
index
MSEP MSEP, RMSEP and R2 of PLSR and PCR models
biplot.mvr Biplots of PLSR and PCR Models.
coef.mvr Extract Information From a Fitted PLSR or PCR
www.eeworm.com/read/188133/8569861
index
MSEP MSEP, RMSEP and R2 of PLSR and PCR models
NIR Multivariate Dataset of NIR Spectra
biplot.mvr Biplots of PLSR and PCR Models.
coef.mvr
www.eeworm.com/read/375075/9373442
m bncrossval.m
function Ehat = bnCrossVal(X,Y,w,k,F,bi,cvk,nr)
% Ehat = bnCrossVal(X,Y,w,k,F,bi,cvk,nr) - Cross-validation for Boolean Network inference
%
% Function estimates the (possibly weighted) error of a