/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.util.normalize.target;
import org.encog.util.normalize.DataNormalization;
/**
* Output the normalized data to a 1D array.
*/
public class NormalizationStorageArray1D implements NormalizationStorage {
/**
* The array to store to.
*/
private double[] array;
/**
* The current index.
*/
private int currentIndex;
public NormalizationStorageArray1D()
{
}
/**
* Construct an object to store to a 2D array.
* @param array The array to store to.
*/
public NormalizationStorageArray1D(final double[] array) {
this.array = array;
this.currentIndex = 0;
}
/**
* Not needed for this storage type.
*/
public void close() {
}
/**
* Not needed for this storage type.
*/
public void open(DataNormalization norm) {
}
/**
* Write an array.
*
* @param data
* The data to write.
* @param inputCount
* How much of the data is input.
*/
public void write(final double[] data, final int inputCount) {
this.array[this.currentIndex++] = data[0];
}
public double[] getArray() {
return this.array;
}
}