代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/364869/2900560
dmx target customer list.dmx
Select * From
(SELECT FLATTENED
t.[CustomerKey],
(SELECT $Probability AS ProdProbability FROM
Predict ([DM Demo Cust Purch], Include_Statistics)
WHERE [Model Name] = 'Mountain-200
www.eeworm.com/read/277055/10672253
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by HyperspectralDataCompress.rc
//
#define IDM_ABOUTBOX 0x0010
#define IDD_ABOUTBOX
www.eeworm.com/read/133539/14036321
x linearregression_smob.x
scm_make_gsubr( "linear-regression?" ,
1 , 0 , 0 , reinterpret_cast(scm_fn_linreg_p ));
scm_make_gsubr( "linear-regression" ,
2 , 0 , 0 , reinterpret_cast
www.eeworm.com/read/273525/4206620
ado slogit_p.ado
*! version 1.0.8 01apr2005
/* predict for slogit */
program define slogit_p
version 9
if "`e(cmd)'" != "slogit" {
di as error "{p}stereotype logistic regression " ///
"estimates fro
www.eeworm.com/read/273525/4209104
idlg _nohet1.idlg
/*
Include file that does all the work for predict
(after gompertz, weibull, or ereg with no het.)
*! VERSION 1.1.2 28mar2005
*/
INCLUDE _std_large // ** set POSTINIT to match
INCLUDE
www.eeworm.com/read/273525/4209107
ado _me_der.ado
*! version 1.0.3 14aug2001
program define _me_der, rclass
version 6
args X /* matrix of evaluation points
*/ i /* index of the matrix
*/ predopt /* option for predict
*/ l
www.eeworm.com/read/273525/4210166
ihlp unstarred.ihlp
{* 20dec2004}{...}
{p 4 6 2} Unstarred statistics are available both in and out of sample; type
{cmd:predict} {it:...} {cmd:if e(sample)} {it:...} if wanted only for the
estimation sample. Starred
www.eeworm.com/read/273525/4210448
ado slogit_p.ado
*! version 1.0.9 07jun2005
/* predict for slogit */
program define slogit_p
version 9
if "`e(cmd)'" != "slogit" {
di as error "{p}stereotype logistic regression " ///
"estimates fro
www.eeworm.com/read/180303/9313145
m svmlfwd.m
function Y = svmlfwd(net, X, Y)
% SVMLFWD - Wrapper for SVMlight: Prediction
%
% YPRED = SVMLFWD(NET, X)
% Predict labels YPRED for points X using the SVMlight stored in NET.
% Each row of X