mirror of https://github.com/jlizier/jidt
78 lines
2.4 KiB
Java
Executable File
78 lines
2.4 KiB
Java
Executable File
/*
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* Java Information Dynamics Toolkit (JIDT)
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* Copyright (C) 2012, Joseph T. Lizier
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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package infodynamics.measures.discrete;
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/**
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* Combines functionality for single agents with functionality
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* required in the context of the past.
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*
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* @author Joseph Lizier
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*
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*/
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public abstract class SingleAgentMeasureInContextOfPastCalculator extends
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ContextOfPastMeasureCalculator implements SingleAgentMeasure {
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public SingleAgentMeasureInContextOfPastCalculator(int base, int history) {
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super(base, history);
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}
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public final double[][] computeLocal(int[][] states) {
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initialise();
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addObservations(states);
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return computeLocalFromPreviousObservations(states);
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}
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public final double[][][] computeLocal(int[][][] states) {
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initialise();
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addObservations(states);
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return computeLocalFromPreviousObservations(states);
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}
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public final double computeAverageLocal(int[][] states) {
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initialise();
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addObservations(states);
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return computeAverageLocalOfObservations();
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}
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public final double computeAverageLocal(int[][][] states) {
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initialise();
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addObservations(states);
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return computeAverageLocalOfObservations();
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}
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public final double[] computeLocalAtAgent(int[][] states, int col) {
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initialise();
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addObservations(states, col);
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return computeLocalFromPreviousObservations(states, col);
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}
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public final double[] computeLocalAtAgent(int[][][] states, int index1, int index2) {
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initialise();
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addObservations(states, index1, index2);
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return computeLocalFromPreviousObservations(states, index1, index2);
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}
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public final double computeAverageLocalAtAgent(int[][] states, int col) {
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initialise();
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addObservations(states, col);
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return computeAverageLocalOfObservations();
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}
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}
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