代码搜索：gnuplot
找到约 682 项符合「gnuplot」的源代码
代码结果 682
www.eeworm.com/read/456869/7337930
readme
This directory includes some useful codes:
1. subset selection tools.
2. parameter selection tools.
3. LIBSVM format checking tools
Part I: Subset selection tools
Introduction
============
Trainin
www.eeworm.com/read/454368/7393095
cpp gptp.cpp
#include
#include
#include
using namespace std;
int main (int argc, const char* argv)
{
while (cin)
{
char buf[1000];
cin.getline(buf,1000);
istringstream is(bu
www.eeworm.com/read/450258/7486719
dem animate.dem
#
# $Id: animate.dem,v 1.6 2003/10/28 05:35:54 sfeam Exp $
#
# HBB: Demo animation, tumbling around 'glass.dat'
# meant to replace the 'rotating whale' demo.
set parametric
set hidden3d
unset key
set
www.eeworm.com/read/450258/7486727
dem contours.dem
#
# $Id: contours.dem,v 1.9 2003/10/28 05:35:54 sfeam Exp $
#
set samples 20
set isosamples 21
set xlabel "X axis" -5,-2
set ylabel "Y axis" 4,-1
set zlabel "Z axis"
set title "3D gnuplot demo - conto
www.eeworm.com/read/444698/7608145
doc readme.doc
Model Selection Tools
Introduction
============
grid.py is a model selection tool for C-SVM classification using RBF
(radial basis function) kernel. It uses cross validation (CV) technique
to estima
www.eeworm.com/read/245632/12786849
readme
Two things are provided in this directory: an automatic model selection
tool and a python binding for libsvm.
Part I: Model Selection Tools
Introduction
===============
grid.py is a model selecti
www.eeworm.com/read/138465/13235051
readme
Model Selection Tools
Introduction
============
grid.py is a model selection tool for C-SVM classification using RBF
(radial basis function) kernel. It uses cross validation (CV) technique
to estima
www.eeworm.com/read/126092/6018034
gpdemo
#!/bin/csh
# File to render
set source = Test.xls
#Generate a unique html filename (/tmp/scriptname.pidnum.html)
set com = $0
set tmp = /tmp/$com:t.$$
set gpcommand = $tmp.gp
set gpdata = $tmp.dat
s
www.eeworm.com/read/481259/6646721
readme
This directory includes some useful codes:
1. subset selection tools.
2. parameter selection tools.
3. LIBSVM format checking tools
Part I: Subset selection tools
Introduction
============
Trainin
www.eeworm.com/read/410158/11300453
readme
This directory includes some useful codes:
1. subset selection tools.
2. parameter selection tools.
3. LIBSVM format checking tools
Part I: Subset selection tools
Introduction
============
Trainin