代码搜索：Modelling
找到约 315 项符合「Modelling」的源代码
代码结果 315
www.eeworm.com/read/467546/1500010
java spatialobject.java
package jwo.jpss.spatial; // Part of the spatial modelling package.
import jwo.jpss.spatial.gui.*; // For GUI representation.
import java.io.Serializable;
// *****************************
www.eeworm.com/read/429426/1948674
py tree2.py
# Author: J Zabkar
# Version: 1.0
# Description: Pre-prunning of classification tree using orngTree module
# Category: modelling
# Uses: iris.tab
# Referenced: orngTree.htm
www.eeworm.com/read/429426/1948712
py classifier2.py
# Description: Read data, build naive Bayesian classifier, and output class probabilities for the first few instances
# Category: modelling
# Uses: voting.tab
# Referenced: c_basics.htm
www.eeworm.com/read/429426/1948714
py regression3.py
# Description: Uses cross-validation to compare regression tree and k-nearest neighbors
# Category: modelling, evaluation
# Uses: housing
# Classes: orngStat.MSE, orngTest.crossValida
www.eeworm.com/read/264886/4286600
txt aboutme.txt
Dr. Simon Robinson graduated with a PHD in theoretical
physics in 1992. He then spent a couple of years working
as a physics researcher, mostly doing mathematical modelling
of certain types of supe
www.eeworm.com/read/178406/9399816
m contents.m
%Contents.m for RotFE ver 2.1
%
% Date 2-Aug-99
% By I. Bucher
%
% rotfe2 Directory
% Contains the Rotordynamics Toolbox
%
% Finite Elemenets (Modelling)
%-----------------------------
% Ro
www.eeworm.com/read/371761/6350389
m pca.m
function PCAmodel = pca(X,no_of_lv,prepro_method);
% pca for iPCA modelling
%
% Input:
% X contains the independent variables
% no_of_lv is the number of PCA components
% prepro_method is
www.eeworm.com/read/371761/6350426
m pca.m
function PCAmodel = pca(X,no_of_lv,prepro_method);
% pca for iPCA modelling
%
% Input:
% X contains the independent variables
% no_of_lv is the number of PCA components
% prepro_method is
www.eeworm.com/read/264046/11331576
m darxdemo.m
% DARXDEMO Captain Toolbox demonstration
%
% Dynamic Auto-Regression with eXogenous variables (DARX)
% modelling of simulated data
%
% See also DARX, DARXOPT, DTFMDEMO1, DTFMDEMO2
% Copyright
www.eeworm.com/read/231340/14238575
m contents.m
%Contents.m for RotFE ver 2.1
%
% Date 2-Aug-99
% By I. Bucher
%
% rotfe2 Directory
% Contains the Rotordynamics Toolbox
%
% Finite Elemenets (Modelling)
%-----------------------------
% Ro