Package com.heatonresearch.aifh.examples.normalize

Source Code of com.heatonresearch.aifh.examples.normalize.NormalizeCSVExample

/*
* Artificial Intelligence for Humans
* Volume 1: Fundamental Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh

* Copyright 2013 by Jeff Heaton
*
* 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 com.heatonresearch.aifh.examples.normalize;

import com.heatonresearch.aifh.normalize.DataSet;

import java.io.File;
import java.io.InputStream;

/**
* A simple normalization example for the Iris data set.
*/
public class NormalizeCSVExample {
    /**
     * The main method.
     *
     * @param args Not used.
     */
    public static void main(final String[] args) {
        final NormalizeCSVExample prg = new NormalizeCSVExample();
        prg.run();
    }

    public void run() {
        try {
            final InputStream istream = this.getClass().getResourceAsStream("/iris.csv");
            if( istream==null ) {
                System.out.println("Cannot access data set, make sure the resources are available.");
                System.exit(1);
            }
            final DataSet ds = DataSet.load(istream);
            istream.close();

            // The following ranges are setup for the Iris data set.  If you wish to normalize other files you will
            // need to modify the below function calls other files.
            ds.normalizeRange(0, 0, 1);
            ds.normalizeRange(1, 0, 1);
            ds.normalizeRange(2, 0, 1);
            ds.normalizeRange(3, 0, 1);
            ds.encodeEquilateral(4);
            final File outputFile = new File("normalized.csv");
            DataSet.save(outputFile, ds);
            System.out.println("Output written to: " + outputFile.getAbsolutePath());
        } catch (Exception ex) {
            ex.printStackTrace();
        }
    }
}
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