[1] | 1 | package agents.anac.y2015.Phoenix.GP;/* This file is part of the jgpml Project.
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| 2 | * http://github.com/renzodenardi/jgpml
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| 3 | *
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| 4 | * Copyright (c) 2011 Renzo De Nardi and Hugo Gravato-Marques
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| 5 | *
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| 6 | * Permission is hereby granted, free of charge, to any person
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| 7 | * obtaining a copy of this software and associated documentation
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| 8 | * files (the "Software"), to deal in the Software without
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| 9 | * restriction, including without limitation the rights to use,
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| 10 | * copy, modify, merge, publish, distribute, sublicense, and/or sell
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| 11 | * copies of the Software, and to permit persons to whom the
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| 12 | * Software is furnished to do so, subject to the following
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| 13 | * conditions:
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| 14 | *
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| 15 | * The above copyright notice and this permission notice shall be
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| 16 | * included in all copies or substantial portions of the Software.
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| 17 | *
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| 18 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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| 19 | * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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| 20 | * OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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| 21 | * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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| 22 | * HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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| 23 | * WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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| 24 | * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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| 25 | * OTHER DEALINGS IN THE SOFTWARE.
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| 26 | */
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| 27 |
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| 28 | import java.util.ArrayList;
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| 29 | import java.util.StringTokenizer;
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| 30 |
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| 31 | import agents.Jama.Matrix;
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| 32 |
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| 33 | import java.io.BufferedReader;
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| 34 | import java.io.FileReader;
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| 35 | import java.io.FileNotFoundException;
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| 36 | import java.io.IOException;
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| 37 |
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| 38 |
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| 39 | /**
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| 40 | * Simple Class to load the example data from files straight into Matrices.
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| 41 | */
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| 42 | public class CSVtoMatrix {
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| 43 |
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| 44 | /**
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| 45 | * Load data
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| 46 | * @param filename data file
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| 47 | * @param sizeofInputs
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| 48 | * @param sizeofOutputs
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| 49 | * @return [X, Y]
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| 50 | */
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| 51 | public static Matrix[] load(String filename,int sizeofInputs, int sizeofOutputs){
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| 52 |
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| 53 | ArrayList<double[]> inputsList = new ArrayList<double[]>();
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| 54 | ArrayList<double[]> outputsList = new ArrayList<double[]>();
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| 55 | BufferedReader br = null;
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| 56 |
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| 57 | try {
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| 58 | br = new BufferedReader(new FileReader(filename));
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| 59 | } catch (FileNotFoundException e) {
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| 60 | System.out.println("error: file " + filename + " not found.");
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| 61 | e.printStackTrace(); //To change body of catch statement use File | Settings | File Templates.
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| 62 | }
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| 63 |
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| 64 | boolean eof;
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| 65 | int datasize = 0;
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| 66 |
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| 67 | do {
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| 68 | eof = true;
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| 69 |
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| 70 | String readLine = null;
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| 71 |
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| 72 | try {
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| 73 | readLine = br.readLine();
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| 74 | } catch (IOException e) {
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| 75 | System.out.println("error: reading from " + filename + ".");
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| 76 | e.printStackTrace(); //To change body of catch statement use File | Settings | File Templates.
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| 77 | }
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| 78 |
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| 79 | if (readLine != null && !readLine.equals("")) {
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| 80 | eof = false;
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| 81 |
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| 82 | try {
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| 83 | double[] in = new double[sizeofInputs];
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| 84 | double[] out = new double[sizeofOutputs];
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| 85 | StringTokenizer st = new StringTokenizer(readLine, ", ");
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| 86 |
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| 87 | // parse inputs
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| 88 | int index = 0;
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| 89 | int currentVariable = 0;
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| 90 | for (int i = 0; i < sizeofInputs; i++) {
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| 91 | in[index] = Double.parseDouble(st.nextToken());
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| 92 | index++;
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| 93 | currentVariable++;
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| 94 | }
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| 95 |
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| 96 | // parse outputs
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| 97 | index = 0;
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| 98 | for (int i = 0; i < sizeofOutputs; i++) {
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| 99 | out[index] = Double.parseDouble(st.nextToken());
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| 100 | index++;
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| 101 | currentVariable++;
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| 102 | }
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| 103 |
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| 104 | inputsList.add(in);
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| 105 | outputsList.add(out);
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| 106 | }
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| 107 | catch (Exception e) {
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| 108 | System.out.println(e + "\nerror: this line in the logfile does not agree with the configuration provided... it will be skipped");
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| 109 | datasize--;
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| 110 | }
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| 111 | }
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| 112 | datasize++;
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| 113 | } while (!eof);
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| 114 |
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| 115 | double[][] inmat = new double[inputsList.size()][sizeofInputs];
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| 116 | double[][] outmat = new double[inputsList.size()][sizeofOutputs];
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| 117 | inputsList.toArray(inmat);
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| 118 | outputsList.toArray(outmat);
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| 119 |
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| 120 | return new Matrix[]{new Matrix(inmat), new Matrix(outmat)};
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| 121 | }
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| 122 |
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| 123 | /**
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| 124 | * Simple example of how to use this class.
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| 125 | * @param args
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| 126 | */
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| 127 | public static void main(String[] args) {
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| 128 |
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| 129 |
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| 130 | Matrix[] data = CSVtoMatrix.load("../machinelearning/src/machinelearning/gaussianprocess/armdata.csv",6,1);
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| 131 |
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| 132 |
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| 133 | }
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| 134 |
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| 135 |
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| 136 | }
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