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/**
 * Copyright 2015, Emory University
 * 
 * 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 edu.emory.mathcs.nlp.common.util;

import java.io.Serializable;

/**
 * @author Jinho D. Choi ({@code [email protected]})
 */
public class Sigmoid implements Serializable
{
	private static final long serialVersionUID = -5529599420715450956L;
	private final float[] table;
	private final float   floor, ceiling;
	private final float   table_multiply;
	private final int     table_adjust;
	
	/** Calls {@link #SigmoidFunction(int, float, float)}, where size = 3500, floor = -6, ceiling = 6. */
	public Sigmoid()
	{
		this(3500, -6, 6);
	}
	
	/**
	 * @param size size of the sigmoid table (10,000 being the highest recommendation).
	 * @param floor lower convergence.
	 * @param ceiling upper convergence.
	 */
	public Sigmoid(int size, float floor, float ceiling)
	{
		this.floor   = floor;
		this.ceiling = ceiling;
		this.table   = new float[size];
		
		float range = ceiling - floor;
		
		table_adjust   = (int)(0.5 - floor * (size - 1) / range);
		table_multiply = (float)(size - 1) / range;
		
        for (int i=0; i= ceiling) ? 1 : table[(int)(d*table_multiply) + table_adjust];
	}
}