[2375] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 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.Generic;
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| 24 | using System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Core;
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| 27 | using System.Xml;
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| 28 | using HeuristicLab.Operators;
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| 29 | using HeuristicLab.Modeling.Database;
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| 30 |
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| 31 | namespace HeuristicLab.CEDMA.Server {
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| 32 | /// <summary>
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| 33 | /// ProblemSpecification describes the data mining task.
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| 34 | /// </summary>
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| 35 | public class ProblemSpecification {
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| 36 |
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| 37 | private HeuristicLab.DataAnalysis.Dataset dataset;
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| 38 | public HeuristicLab.DataAnalysis.Dataset Dataset {
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| 39 | get { return dataset; }
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| 40 | set {
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| 41 | if (value != dataset) {
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| 42 | dataset = value;
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| 43 | }
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| 44 | }
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| 45 | }
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| 46 |
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| 47 | public string TargetVariable { get; set; }
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| 48 |
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| 49 | private int trainingSamplesStart;
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| 50 | public int TrainingSamplesStart {
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| 51 | get { return trainingSamplesStart; }
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| 52 | set { trainingSamplesStart = value; }
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| 53 | }
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| 54 |
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| 55 | private int trainingSamplesEnd;
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| 56 | public int TrainingSamplesEnd {
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| 57 | get { return trainingSamplesEnd; }
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| 58 | set { trainingSamplesEnd = value; }
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| 59 | }
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| 60 |
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| 61 | private int validationSamplesStart;
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| 62 | public int ValidationSamplesStart {
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| 63 | get { return validationSamplesStart; }
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| 64 | set { validationSamplesStart = value; }
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| 65 | }
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| 66 |
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| 67 | private int validationSamplesEnd;
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| 68 | public int ValidationSamplesEnd {
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| 69 | get { return validationSamplesEnd; }
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| 70 | set { validationSamplesEnd = value; }
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| 71 | }
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| 72 |
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| 73 | private int testSamplesStart;
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| 74 | public int TestSamplesStart {
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| 75 | get { return testSamplesStart; }
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| 76 | set { testSamplesStart = value; }
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| 77 | }
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| 78 |
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| 79 | private int testSamplesEnd;
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| 80 | public int TestSamplesEnd {
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| 81 | get { return testSamplesEnd; }
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| 82 | set { testSamplesEnd = value; }
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| 83 | }
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| 84 |
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| 85 | public int MaxTimeOffset { get; set; }
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| 86 | public int MinTimeOffset { get; set; }
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| 87 |
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| 88 | public bool AutoRegressive { get; set; }
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| 89 |
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| 90 | private LearningTask learningTask;
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| 91 | public LearningTask LearningTask {
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| 92 | get { return learningTask; }
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| 93 | set { learningTask = value; }
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| 94 | }
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| 95 |
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| 96 | private List<string> inputVariables;
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| 97 | public IEnumerable<string> InputVariables {
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| 98 | get { return inputVariables; }
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| 99 | }
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| 100 |
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| 101 | public ProblemSpecification() {
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| 102 | Dataset = new HeuristicLab.DataAnalysis.Dataset();
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| 103 | inputVariables = new List<string>();
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| 104 | }
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| 105 |
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| 106 | // copy ctr
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| 107 | public ProblemSpecification(ProblemSpecification original) {
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| 108 | LearningTask = original.LearningTask;
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| 109 | TargetVariable = original.TargetVariable;
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[2422] | 110 | MinTimeOffset = original.MinTimeOffset;
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| 111 | MaxTimeOffset = original.MaxTimeOffset;
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| 112 | AutoRegressive = original.AutoRegressive;
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[2375] | 113 | TrainingSamplesStart = original.TrainingSamplesStart;
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| 114 | TrainingSamplesEnd = original.TrainingSamplesEnd;
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| 115 | ValidationSamplesStart = original.ValidationSamplesStart;
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| 116 | ValidationSamplesEnd = original.ValidationSamplesEnd;
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| 117 | TestSamplesStart = original.TestSamplesStart;
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| 118 | TestSamplesEnd = original.TestSamplesEnd;
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| 119 | inputVariables = new List<string>(original.InputVariables);
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| 120 | Dataset = original.Dataset;
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| 121 | }
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| 122 |
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| 123 | internal void AddInputVariable(string name) {
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| 124 | if (!inputVariables.Contains(name)) inputVariables.Add(name);
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| 125 | }
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| 126 |
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| 127 | internal void RemoveInputVariable(string name) {
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| 128 | inputVariables.Remove(name);
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| 129 | }
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| 130 |
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| 131 | public override bool Equals(object obj) {
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| 132 | ProblemSpecification other = (obj as ProblemSpecification);
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| 133 | if (other == null) return false;
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| 134 | return
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| 135 | other.LearningTask == LearningTask &&
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[2392] | 136 | other.MinTimeOffset == MinTimeOffset &&
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| 137 | other.MaxTimeOffset == MaxTimeOffset &&
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| 138 | other.AutoRegressive == AutoRegressive &&
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[2375] | 139 | other.TargetVariable == TargetVariable &&
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| 140 | other.trainingSamplesStart == trainingSamplesStart &&
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| 141 | other.trainingSamplesEnd == trainingSamplesEnd &&
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| 142 | other.validationSamplesStart == validationSamplesStart &&
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| 143 | other.validationSamplesEnd == validationSamplesEnd &&
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| 144 | other.testSamplesStart == testSamplesStart &&
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| 145 | other.testSamplesEnd == testSamplesEnd &&
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| 146 | other.InputVariables.Count() == InputVariables.Count() &&
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| 147 | other.InputVariables.All(x => InputVariables.Contains(x)) &&
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| 148 | // it would be safer to check if the dataset values are the same but
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| 149 | // it should be sufficient to check if the dimensions are equal for now (gkronber 09/21/2009)
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| 150 | other.Dataset.Rows == Dataset.Rows &&
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| 151 | other.Dataset.Columns == Dataset.Columns;
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| 152 | }
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| 153 |
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| 154 | public override int GetHashCode() {
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| 155 | return
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| 156 | LearningTask.GetHashCode() |
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| 157 | TargetVariable.GetHashCode() |
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[2422] | 158 | MinTimeOffset.GetHashCode() |
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| 159 | MaxTimeOffset.GetHashCode() |
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| 160 | AutoRegressive.GetHashCode() |
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[2375] | 161 | TrainingSamplesStart.GetHashCode() |
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| 162 | TrainingSamplesEnd.GetHashCode() |
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| 163 | ValidationSamplesStart.GetHashCode() |
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| 164 | ValidationSamplesEnd.GetHashCode() |
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| 165 | TestSamplesStart.GetHashCode() |
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| 166 | TestSamplesEnd.GetHashCode() |
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| 167 | InputVariables.Count().GetHashCode() |
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| 168 | Dataset.Rows.GetHashCode() |
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| 169 | Dataset.Columns.GetHashCode();
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| 170 | }
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| 171 | }
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| 172 | }
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