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/214923/15082959
m postlssvm.m
function [model,Yt] = postlssvm(model,Xt,Yt)
% Postprocessing of the LS-SVM
%
% These functions should only be called by trainlssvm or by
% simlssvm. At first the preprocessing assigns a label to each
www.eeworm.com/read/344585/3207886
m postlssvm.m
function [model,Yt] = postlssvm(model,Xt,Yt)
% Postprocessing of the LS-SVM
%
% These functions should only be called by trainlssvm or by
% simlssvm. At first the preprocessing assigns a label to each
www.eeworm.com/read/429426/1948733
py domain12.py
# Description: Add a new attribute price to a car data set, compute it from two existing attributes (buying, maint)
# Category: preprocessing
# Uses: car
# Classes: Domain, Value, get
www.eeworm.com/read/429426/1948751
py disc4.py
# Description: Shows how to find out which are the cut-off points introduced by Orange's automatic categorization rutines.
# Category: preprocessing
# Uses: iris
# Classes: EquiNDiscr
www.eeworm.com/read/429426/1948753
py sample_adult.py
# Description: Read 'adult' data set and select 3% of instances (use stratified sampling)
# Category: preprocessing
# Uses: adult.tab
# Classes: ExampleTable, MakeRandomIndices2
# Re
www.eeworm.com/read/429426/1948759
py domain3.py
# Description: Shows different uses of orange.Domain
# Category: preprocessing
# Uses: glass
# Classes: Domain
# Referenced: domain.htm
import orange
domain = orange.ExampleTa
www.eeworm.com/read/386597/2570126
m classifier_commands.m
function classifier_commands(command)
%This function processes events from the main (single-algorithm) GUI screen
persistent Preprocessing_methods;
persistent Algorithms;
if (isempty(Preproces
www.eeworm.com/read/474600/6813442
m classifier_commands.m
function classifier_commands(command)
%This function processes events from the main (single-algorithm) GUI screen
persistent Preprocessing_methods;
persistent Algorithms;
if (isempty(Preproces
www.eeworm.com/read/172172/9722101
m postlssvm.m
function [model,Yt] = postlssvm(model,Xt,Yt)
% Postprocessing of the LS-SVM
%
% These functions should only be called by trainlssvm or by
% simlssvm. At first the preprocessing assigns a label to each
www.eeworm.com/read/367440/9748462
m postlssvm.m
function [model,Yt] = postlssvm(model,Xt,Yt)
% Postprocessing of the LS-SVM
%
% These functions should only be called by trainlssvm or by
% simlssvm. At first the preprocessing assigns a label to each