代码搜索：learner
找到约 833 项符合「learner」的源代码
代码结果 833
www.eeworm.com/read/439513/7707448
m demo.m
%
% DEMONSTRATION OF ADABOOST_tr and ADABOOST_te
%
% Just type "demo" to run the demo.
%
% Using adaboost with linear threshold classifier
% for a two class classification problem.
%
% Bug Reporting:
www.eeworm.com/read/489934/6463606
m demo.m
%
% DEMONSTRATION OF ADABOOST_tr and ADABOOST_te
%
% Just type "demo" to run the demo.
%
% Using adaboost with linear threshold classifier
% for a two class classification problem.
%
% Bug Reporting:
www.eeworm.com/read/332708/3394545
java dataiter.java
package iitb.CRF;
/**
* The basic interface to be implemented by the user of this package for
* providing training and test data to the learner.
*
* @author Sunita Sarawagi
*
*/
public interfa
www.eeworm.com/read/300185/3848004
java dataiter.java
package iitb.CRF;
/**
* The basic interface to be implemented by the user of this package for
* providing training and test data to the learner.
*
* @author Sunita Sarawagi
*
*/
public interfa
www.eeworm.com/read/429426/1948707
py bayes.py
# Description: Class that implements the naive Bayesian learner and classifier (warning: just for educational purposes, for real, use naive Bayes as implemented in core Orange)
# Category: modelli
www.eeworm.com/read/405366/2292593
java dataiter.java
package iitb.CRF;
/**
* The basic interface to be implemented by the user of this package for
* providing training and test data to the learner.
*
* @author Sunita Sarawagi
*
*/
public interfa
www.eeworm.com/read/429426/1948659
py fss4.py
# Description: Demonstrates the use of orngFSS.FilteredLearner to compare
# naive Bayesian learner when all or just the most important attribute
# is used. Shows how to fin
www.eeworm.com/read/252978/12252010
java classifier.java
package learner;
public interface Classifier {
public double test(Datastructure[] testdata);
public int classify(double data);
public double[] crossvalidate(int folds);
public double
www.eeworm.com/read/347796/3162935
java dataset.java
package dragon.ml.seqmodel.data;
/**
* The basic interface to be implemented by the user of this package for
* providing training and test data to the learner.
* @author Sunita Sarawagi
*/