/*
 *   ________________________________________________________________________________________
 *   
 *   Y O O R E E K A
 *   A library for data mining, machine learning, soft computing, and mathematical analysis
 *   ________________________________________________________________________________________ 
 *    
 *   The Yooreeka project started with the code of the book "Algorithms of the Intelligent Web " 
 *   (Manning 2009). Although the term "Web" prevailed in the title, in essence, the algorithms 
 *   are valuable in any software application.
 *  
 *   Copyright (c) 2007-2009 Haralambos Marmanis & Dmitry Babenko
 *   Copyright (c) 2009-${year} Marmanis Group LLC and individual contributors as indicated by the @author tags.  
 * 
 *   Certain library functions depend on other Open Source software libraries, which are covered 
 *   by different license agreements. See the NOTICE file distributed with this work for additional 
 *   information regarding copyright ownership and licensing.
 * 
 *   Marmanis Group LLC licenses this file to You 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 org.yooreeka.examples.credit.util;

import java.util.HashMap;
import java.util.Map;

import org.yooreeka.examples.credit.CreditInstance;

public class AttributeUtils {

	private static Map<String, AttributeInfo> attributeInfoMap = new HashMap<String, AttributeInfo>();

	static {
		AttributeInfo ai = null;

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_AGE, 1, 10);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_CAR_OWNERSHIP, 0, 1);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_CREDIT_SCORE, 1, 8);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_INCOME_TYPE, 1, 10);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_JOB_CLASS, 1, 5);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_MORTGAGE_DOWN_PAYMENT,
				1, 4);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(
				CreditInstance.ATTR_NAME_MOTOR_BICYCLE_OWNERSHIP, 0, 1);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(
				CreditInstance.ATTR_NAME_OTHER_PROPERTY_OWNERSHIP, 0, 1);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_CRIMINAL_RECORD, 0, 1);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_BANKRUPTCY, 0, 1);
		attributeInfoMap.put(ai.getName(), ai);

		ai = new AttributeInfo(CreditInstance.ATTR_NAME_RETIREMENT_ACCOUNT, 1,
				8);
		attributeInfoMap.put(ai.getName(), ai);
	}

	public static double getNormalizedValue(String attrName, double value) {
		AttributeInfo ai = attributeInfoMap.get(attrName);
		return (value - ai.getMinValue())
				/ (ai.getMaxValue() - ai.getMinValue());
	}
}
