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/273525/4205438
ado ologit_p.ado
*! version 1.2.5 30mar2005
/* predict for ologit, oprobit, svyologit, and svyoprobit */
program define ologit_p
version 9, missing
/* Parse. */
syntax [anything] [if] [in] [, * ]
if ind
www.eeworm.com/read/273525/4206584
ado svy_x_p.ado
*! version 1.0.0 16sep2002
program svy_x_p
version 8
di as error "predict not possible after `e(cmd)'"
exit 301
end
exit
www.eeworm.com/read/273525/4207766
ado areg_p.ado
*! version 1.1.2 25jan2005
program define areg_p /* predict after areg */
version 6, missing
syntax [anything] [if] [in] [, SCores * ]
if `"`scores'"' != "" {
GenScores `0'
exit
}
www.eeworm.com/read/273525/4209237
idlg _p_nooffset.idlg
/*
Includes the -nooffset- option for -predict-
VERSION 1.0.0 21dec2002
*/
CHECKBOX ck_nooffset _lft _xls _iwd ., /*
*/ option(nooffset) /*
*/ label("Ignore offs
www.eeworm.com/read/372575/2771900
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/476296/6765137
m fqrrls3.m
%FQRRLS3T Problem 3.4
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% s - deterministic part of signal to predict
% sigman - standar
www.eeworm.com/read/135035/13966261
bp qsar.bp
* This program does (as backprop always does) a form of non-linear
* regression. The goal is to predict the reactivity of certain chemical
* compounds given data about those compounds. This partic
www.eeworm.com/read/375212/9368976
m splnpred.m
function ypred = splnpred(xnew,coeffs,knotspots,plots);
%SPLNPRED Uses spline from SPLNFIT and new x data to predict new y
% This function uses the coefficients and knot locations produced
% by t
www.eeworm.com/read/362500/9995846
m splnpred.m
function ypred = splnpred(xnew,coeffs,knotspots,plots);
%SPLNPRED Uses spline from SPLNFIT and new x data to predict new y
% This function uses the coefficients and knot locations produced
% by t
www.eeworm.com/read/457731/7318632
m naive_bayes.m
%
% naive_bayes.m
%
% created by Sunghwan Yoo
%
%
% Goal: predict label Y given X
%
% Naive Bayes
% ===========
%
% Learning:
% Compute prior probabilities p(Y=1), and p(Y=0)
% For