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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.learning.util;

import edu.emory.mathcs.nlp.common.util.DSUtils;
import it.unimi.dsi.fastutil.ints.IntCollection;
import it.unimi.dsi.fastutil.ints.IntIterator;
import org.apache.commons.math3.util.FastMath;

/**
 * @author Jinho D. Choi ({@code [email protected]})
 */
public class MLUtils
{
	/** Transform the scores into softmax regression. */
	static public void softmax(float[] scores)
	{
		float sum = 0;
		
		for (int i=0; i




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