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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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