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Learning code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

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/*
 * Copyright The Sett Ltd, 2005 to 2014.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.thesett.aima.learning;

import java.util.Map;

import com.thesett.aima.state.OrdinalAttribute;
import com.thesett.aima.state.State;

/**
 * A classifying machine takes a state and classifies it by returning its belief about the value of some of the states
 * properties.
 *
 * 

*
CRC Card
Responsibilities Collaborations *
Perform a classification on a state. *
* * @author Rupert Smith */ public interface ClassifyingMachine { /** * Perform a classification of a {@link State}. The belief about the value of some properties of the state is * expressed as a set of property, value pairs. * * @param state The state to classify. * * @return A map of properties that classify the state. * * @throws ClassifyingFailureException If the classification algorithm fails for any reason (for example missing * data in the state to classify). */ Map classify(State state) throws ClassifyingFailureException; }




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