1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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.Collections;
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27 | using HeuristicLab.Common;
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28 | using HeuristicLab.Core;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 |
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33 | namespace HeuristicLab.Problems.DataAnalysis {
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34 | [StorableClass]
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35 | public abstract class DataAnalysisProblemData : ParameterizedNamedItem, IDataAnalysisProblemData {
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36 | protected const string DatasetParameterName = "Dataset";
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37 | protected const string InputVariablesParameterName = "InputVariables";
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38 | protected const string TrainingPartitionParameterName = "TrainingPartition";
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39 | protected const string TestPartitionParameterName = "TestPartition";
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40 | protected const string TransformationsParameterName = "Transformations";
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41 |
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42 | #region parameter properites
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43 | public IFixedValueParameter<Dataset> DatasetParameter {
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44 | get { return (IFixedValueParameter<Dataset>)Parameters[DatasetParameterName]; }
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45 | }
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46 | public IFixedValueParameter<ReadOnlyCheckedItemList<StringValue>> InputVariablesParameter {
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47 | get { return (IFixedValueParameter<ReadOnlyCheckedItemList<StringValue>>)Parameters[InputVariablesParameterName]; }
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48 | }
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49 | public IFixedValueParameter<IntRange> TrainingPartitionParameter {
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50 | get { return (IFixedValueParameter<IntRange>)Parameters[TrainingPartitionParameterName]; }
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51 | }
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52 | public IFixedValueParameter<IntRange> TestPartitionParameter {
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53 | get { return (IFixedValueParameter<IntRange>)Parameters[TestPartitionParameterName]; }
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54 | }
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55 | public IFixedValueParameter<ReadOnlyItemList<ITransformation>> TransformationsParameter {
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56 | get { return (IFixedValueParameter<ReadOnlyItemList<ITransformation>>)Parameters[TransformationsParameterName]; }
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57 | }
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58 | #endregion
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59 |
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60 | #region properties
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61 | protected bool isEmpty = false;
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62 | public bool IsEmpty {
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63 | get { return isEmpty; }
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64 | }
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65 | public IDataset Dataset {
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66 | get { return DatasetParameter.Value; }
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67 | }
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68 | public ICheckedItemList<StringValue> InputVariables {
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69 | get { return InputVariablesParameter.Value; }
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70 | }
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71 | public IEnumerable<string> AllowedInputVariables {
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72 | get { return InputVariables.CheckedItems.Select(x => x.Value.Value); }
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73 | }
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74 |
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75 | public IntRange TrainingPartition {
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76 | get { return TrainingPartitionParameter.Value; }
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77 | }
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78 | public IntRange TestPartition {
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79 | get { return TestPartitionParameter.Value; }
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80 | }
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81 |
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82 | public virtual IEnumerable<int> TrainingIndices {
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83 | get {
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84 | return Enumerable.Range(TrainingPartition.Start, Math.Max(0, TrainingPartition.End - TrainingPartition.Start))
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85 | .Where(IsTrainingSample);
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86 | }
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87 | }
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88 | public virtual IEnumerable<int> TestIndices {
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89 | get {
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90 | return Enumerable.Range(TestPartition.Start, Math.Max(0, TestPartition.End - TestPartition.Start))
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91 | .Where(IsTestSample);
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92 | }
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93 | }
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94 |
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95 | public IEnumerable<ITransformation> Transformations {
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96 | get { return TransformationsParameter.Value; }
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97 | }
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98 |
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99 | public virtual bool IsTrainingSample(int index) {
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100 | return index >= 0 && index < Dataset.Rows &&
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101 | TrainingPartition.Start <= index && index < TrainingPartition.End &&
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102 | (index < TestPartition.Start || TestPartition.End <= index);
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103 | }
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104 |
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105 | public virtual bool IsTestSample(int index) {
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106 | return index >= 0 && index < Dataset.Rows &&
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107 | TestPartition.Start <= index && index < TestPartition.End;
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108 | }
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109 | #endregion
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110 |
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111 | protected DataAnalysisProblemData(DataAnalysisProblemData original, Cloner cloner)
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112 | : base(original, cloner) {
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113 | isEmpty = original.isEmpty;
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114 | RegisterEventHandlers();
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115 | }
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116 | [StorableConstructor]
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117 | protected DataAnalysisProblemData(bool deserializing) : base(deserializing) { }
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118 |
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119 | [StorableHook(HookType.AfterDeserialization)]
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120 | private void AfterDeserialization() {
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121 | if (!Parameters.ContainsKey(TransformationsParameterName)) {
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122 | Parameters.Add(new FixedValueParameter<ReadOnlyItemList<ITransformation>>(TransformationsParameterName, "", new ItemList<ITransformation>().AsReadOnly()));
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123 | TransformationsParameter.Hidden = true;
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124 | }
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125 | RegisterEventHandlers();
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126 | }
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127 |
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128 | protected DataAnalysisProblemData(IDataset dataset, IEnumerable<string> allowedInputVariables, IEnumerable<ITransformation> transformations = null) {
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129 | if (dataset == null) throw new ArgumentNullException("The dataset must not be null.");
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130 | if (allowedInputVariables == null) throw new ArgumentNullException("The allowedInputVariables must not be null.");
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131 |
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132 | if (allowedInputVariables.Except(dataset.DoubleVariables).Any())
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133 | throw new ArgumentException("All allowed input variables must be present in the dataset and of type double.");
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134 |
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135 | var inputVariables = new CheckedItemList<StringValue>(dataset.DoubleVariables.Select(x => new StringValue(x)));
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136 | foreach (StringValue x in inputVariables)
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137 | inputVariables.SetItemCheckedState(x, allowedInputVariables.Contains(x.Value));
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138 |
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139 | int trainingPartitionStart = 0;
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140 | int trainingPartitionEnd = dataset.Rows / 2;
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141 | int testPartitionStart = dataset.Rows / 2;
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142 | int testPartitionEnd = dataset.Rows;
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143 |
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144 | var transformationsList = new ItemList<ITransformation>(transformations ?? Enumerable.Empty<ITransformation>());
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145 |
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146 | Parameters.Add(new FixedValueParameter<Dataset>(DatasetParameterName, "", (Dataset)dataset));
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147 | Parameters.Add(new FixedValueParameter<ReadOnlyCheckedItemList<StringValue>>(InputVariablesParameterName, "", inputVariables.AsReadOnly()));
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148 | Parameters.Add(new FixedValueParameter<IntRange>(TrainingPartitionParameterName, "", new IntRange(trainingPartitionStart, trainingPartitionEnd)));
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149 | Parameters.Add(new FixedValueParameter<IntRange>(TestPartitionParameterName, "", new IntRange(testPartitionStart, testPartitionEnd)));
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150 | Parameters.Add(new FixedValueParameter<ReadOnlyItemList<ITransformation>>(TransformationsParameterName, "", transformationsList.AsReadOnly()));
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151 |
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152 | TransformationsParameter.Hidden = true;
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153 |
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154 | ((ValueParameter<Dataset>)DatasetParameter).ReactOnValueToStringChangedAndValueItemImageChanged = false;
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155 | RegisterEventHandlers();
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156 | }
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157 |
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158 | private void RegisterEventHandlers() {
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159 | DatasetParameter.ValueChanged += new EventHandler(Parameter_ValueChanged);
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160 | InputVariables.CheckedItemsChanged += new CollectionItemsChangedEventHandler<IndexedItem<StringValue>>(InputVariables_CheckedItemsChanged);
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161 | TrainingPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
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162 | TestPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
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163 | TransformationsParameter.ValueChanged += new EventHandler(Parameter_ValueChanged);
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164 | }
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165 |
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166 | private void InputVariables_CheckedItemsChanged(object sender, CollectionItemsChangedEventArgs<IndexedItem<StringValue>> e) {
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167 | OnChanged();
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168 | }
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169 |
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170 | private void Parameter_ValueChanged(object sender, EventArgs e) {
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171 | OnChanged();
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172 | }
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173 |
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174 | public event EventHandler Changed;
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175 | protected virtual void OnChanged() {
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176 | var listeners = Changed;
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177 | if (listeners != null) listeners(this, EventArgs.Empty);
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178 | }
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179 |
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180 | protected virtual bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
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181 | errorMessage = string.Empty;
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182 | if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
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183 |
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184 | //check allowed input variables
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185 | StringBuilder message = new StringBuilder();
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186 | var variables = new HashSet<string>(problemData.InputVariables.Select(x => x.Value));
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187 | foreach (var item in AllowedInputVariables) {
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188 | if (!variables.Contains(item))
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189 | message.AppendLine("Input variable '" + item + "' is not present in the new problem data.");
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190 | }
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191 |
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192 | if (message.Length != 0) {
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193 | errorMessage = message.ToString();
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194 | return false;
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195 | }
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196 | return true;
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197 |
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198 | }
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199 |
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200 | public virtual void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {
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201 | DataAnalysisProblemData data = problemData as DataAnalysisProblemData;
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202 | if (data == null) throw new ArgumentException("The problem data is not a data analysis problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
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203 |
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204 | string errorMessage;
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205 | if (!data.IsProblemDataCompatible(this, out errorMessage)) {
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206 | throw new InvalidOperationException(errorMessage);
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207 | }
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208 |
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209 | foreach (var inputVariable in InputVariables) {
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210 | var variable = data.InputVariables.FirstOrDefault(i => i.Value == inputVariable.Value);
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211 | InputVariables.SetItemCheckedState(inputVariable, variable != null && data.InputVariables.ItemChecked(variable));
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212 | }
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213 |
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214 | TrainingPartition.Start = TrainingPartition.End = 0;
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215 | TestPartition.Start = 0;
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216 | TestPartition.End = Dataset.Rows;
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217 | }
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218 | }
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219 | }
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