代码搜索:preprocessing
找到约 856 项符合「preprocessing」的源代码
代码结果 856
www.eeworm.com/read/366702/2884302
c separate-1.c
/* Copyright 2003 Free Software Foundation. */
/* { dg-do compile } */
/* { dg-options "-save-temps" } */
/* Make sure we report errors in the right line, even if separate
preprocessing is used.
www.eeworm.com/read/162614/5530999
c undef2.c
/* C99 6.10.8 para 4: None of [the predefined macro names] shall be
the subject of a #define or an #undef preprocessing directive. We
pass -fno-show-column as otherwise dejagnu gets confused.
www.eeworm.com/read/452695/7436416
c program13_01.c
/* Program 13.1 Debugging using preprocessing directives */
#include
#include
#include
/* Macro to generate pseudo-random number from 0 to NumValues */
#define ran
www.eeworm.com/read/436207/1850640
m opt_sphere.m
function A = opt_sphere(X, S, D, maxiter)
% Preprocessing: First sphere the data
sphereMult = cov(X)^-0.5;
sphereX = X*sphereMult;
s = size(sphereX);
N = s(1); % number of examples
d = s
www.eeworm.com/read/357319/3020495
bat preprocess.bat
@echo off
SET OUTDIR=..\..\..\run
cd src
SET FILE=.\build
if NOT "-%1" == "-" SET FILE=%1
echo Preprocessing template: %FILE%.pas
..\..\JvExVCL\src\dpp.exe .\%FILE%.pas -I..\..\..\common >
www.eeworm.com/read/357319/3020665
bat preprocess.bat
@echo off
SET OUTDIR=..\..\..\run
cd src
SET FILE=.\build
if NOT "-%1" == "-" SET FILE=%1
echo Preprocessing template: %FILE%.pas
dpp.exe .\%FILE%.pas -I..\..\..\common >NUL
if "%FILE
www.eeworm.com/read/471682/6888004
c program13_01.c
/* Program 13.1 Debugging using preprocessing directives */
#include
#include
#include
/* Macro to generate pseudo-random number from 0 to NumValues */
#define ran
www.eeworm.com/read/143706/12850023
m test_validate.m
function run = test_validate(D, classifier)
global preprocess;
clear run;
% The statistics of dataset
[X, Y, num_data, num_feature] = Preprocessing(D);
num_class = length(preprocess.ClassSet)
www.eeworm.com/read/143706/12850363
m train_validate.m
function run = train_validate(D, classifier)
global preprocess;
clear run;
% The statistics of dataset
[X, Y, num_data, num_feature] = Preprocessing(D);
num_class = length(preprocess.ClassSet