[7849] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections;
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| 24 | using System.Collections.Generic;
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| 25 | using System.IO;
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| 26 | using System.Linq;
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| 27 | using System.Text;
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| 28 | using HeuristicLab.Problems.DataAnalysis;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
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| 31 | public abstract class RegressionInstanceProvider : IProblemInstanceProvider<IRegressionProblemData> {
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| 32 |
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| 33 | public IRegressionProblemData LoadData(string path) {
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| 34 | TableFileParser csvFileParser = new TableFileParser();
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[7851] | 35 | csvFileParser.Parse(path);
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[7849] | 36 |
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| 37 | Dataset dataset = new Dataset(csvFileParser.VariableNames, csvFileParser.Values);
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| 38 | string targetVar = csvFileParser.VariableNames.Last();
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[7860] | 39 |
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[7849] | 40 | IEnumerable<string> allowedInputVars = csvFileParser.VariableNames.Where(x => !x.Equals(targetVar));
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| 41 |
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[7851] | 42 | IRegressionProblemData regData = new RegressionProblemData(dataset, allowedInputVars, targetVar);
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[7849] | 43 |
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| 44 | int trainingPartEnd = csvFileParser.Rows * 2 / 3;
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| 45 | regData.TrainingPartition.Start = 0;
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| 46 | regData.TrainingPartition.End = trainingPartEnd;
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| 47 | regData.TestPartition.Start = trainingPartEnd;
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| 48 | regData.TestPartition.End = csvFileParser.Rows;
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| 49 |
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[7851] | 50 | int pos = path.LastIndexOf('\\');
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| 51 | if (pos < 0)
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| 52 | regData.Name = path;
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| 53 | else {
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| 54 | pos++;
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| 55 | regData.Name = path.Substring(pos, path.Length - pos);
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| 56 | }
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[7849] | 57 | return regData;
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| 58 | }
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| 59 |
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| 60 | public void SaveData(IRegressionProblemData instance, string path) {
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| 61 | StringBuilder strBuilder = new StringBuilder();
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| 62 |
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| 63 | foreach (var variable in instance.InputVariables) {
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| 64 | strBuilder.Append(variable + ";");
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| 65 | }
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| 66 | strBuilder.Remove(strBuilder.Length - 1, 1);
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| 67 | strBuilder.AppendLine();
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| 68 |
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| 69 | Dataset dataset = instance.Dataset;
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| 70 |
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| 71 | for (int i = 0; i < dataset.Rows; i++) {
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| 72 | for (int j = 0; j < dataset.Columns; j++) {
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| 73 | strBuilder.Append(dataset.GetValue(i, j) + ";");
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| 74 | }
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| 75 | strBuilder.Remove(strBuilder.Length - 1, 1);
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| 76 | strBuilder.AppendLine();
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| 77 | }
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| 78 |
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| 79 | using (StreamWriter writer = new StreamWriter(path)) {
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| 80 | writer.Write(strBuilder);
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| 81 | }
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| 82 | }
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| 83 |
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| 84 | public abstract IEnumerable<IDataDescriptor> GetDataDescriptors();
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| 85 | public abstract IRegressionProblemData LoadData(IDataDescriptor descriptor);
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| 86 |
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| 87 | public abstract string Name { get; }
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| 88 | public abstract string Description { get; }
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| 89 | public abstract Uri WebLink { get; }
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| 90 | public abstract string ReferencePublication { get; }
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| 91 | }
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| 92 | }
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