001/* 002 * To change this license header, choose License Headers in Project Properties. 003 * To change this template file, choose Tools | Templates 004 * and open the template in the editor. 005 */ 006package org.dllearner.core.probabilistic.unife; 007 008import org.dllearner.core.AbstractCELA; 009import org.dllearner.core.LearningAlgorithm; 010import org.springframework.beans.factory.annotation.Autowired; 011 012/** 013 * 014 * @author Giuseppe Cota <giuseppe.cota@unife.it>, Riccardo Zese 015 * <riccardo.zese@unife.it> 016 */ 017public interface ProbabilisticStructureLearningAlgorithm extends LearningAlgorithm { 018 019 /** 020 * Starts the algorithm. It runs until paused, stopped, or a termination 021 * criterion has been reached. 022 */ 023 //public abstract void start(); 024 025// /** 026// * Get the underlying learning algorithm. 027// * @return Underlying learning algorithm. 028// */ 029// public AbstractCELA getLearningAlgorithm(); 030// 031// /** 032// * Set the learning algorithm used to generate new class expression and then 033// * new axioms. 034// * @param la The learning algorithm used to generate class expressions. 035// */ 036// @Autowired 037// public void setLearningAlgorithm(AbstractCELA la); 038 039 /** 040 * Get the underlying learning parameter algorithm. 041 * @return Underlying learning parameter algorithm. 042 */ 043 public ParameterLearningAlgorithm getLearningParameterAlgorithm(); 044 045 /** 046 * Set the parameter learner algorithm. 047 * @param pla The parameter learner to be used. 048 */ 049 @Autowired 050 public void setLearningParameterAlgorithm(ParameterLearningAlgorithm pla); 051 052}