[5540] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5540] | 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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[5586] | 25 | using HeuristicLab.Collections;
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[5540] | 26 | using HeuristicLab.Common;
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| 27 | using HeuristicLab.Core;
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[5586] | 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.Parameters;
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[5540] | 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.DataAnalysis {
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| 33 | [StorableClass]
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[5586] | 34 | public abstract class DataAnalysisProblemData : ParameterizedNamedItem, IDataAnalysisProblemData {
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[6666] | 35 | protected const string DatasetParameterName = "Dataset";
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| 36 | protected const string InputVariablesParameterName = "InputVariables";
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| 37 | protected const string TrainingPartitionParameterName = "TrainingPartition";
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| 38 | protected const string TestPartitionParameterName = "TestPartition";
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[5586] | 39 |
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| 40 | #region parameter properites
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[5601] | 41 | public IFixedValueParameter<Dataset> DatasetParameter {
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| 42 | get { return (IFixedValueParameter<Dataset>)Parameters[DatasetParameterName]; }
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[5586] | 43 | }
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[5847] | 44 | public IFixedValueParameter<ReadOnlyCheckedItemList<StringValue>> InputVariablesParameter {
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| 45 | get { return (IFixedValueParameter<ReadOnlyCheckedItemList<StringValue>>)Parameters[InputVariablesParameterName]; }
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[5586] | 46 | }
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[5759] | 47 | public IFixedValueParameter<IntRange> TrainingPartitionParameter {
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| 48 | get { return (IFixedValueParameter<IntRange>)Parameters[TrainingPartitionParameterName]; }
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[5586] | 49 | }
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[5759] | 50 | public IFixedValueParameter<IntRange> TestPartitionParameter {
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| 51 | get { return (IFixedValueParameter<IntRange>)Parameters[TestPartitionParameterName]; }
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[5586] | 52 | }
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| 53 | #endregion
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| 54 |
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[6666] | 55 | #region properties
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| 56 | protected bool isEmpty = false;
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| 57 | public bool IsEmpty {
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| 58 | get { return isEmpty; }
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| 59 | }
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[5540] | 60 | public Dataset Dataset {
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[5586] | 61 | get { return DatasetParameter.Value; }
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[5540] | 62 | }
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[5649] | 63 | public ICheckedItemList<StringValue> InputVariables {
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[5586] | 64 | get { return InputVariablesParameter.Value; }
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| 65 | }
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[5554] | 66 | public IEnumerable<string> AllowedInputVariables {
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[5649] | 67 | get { return InputVariables.CheckedItems.Select(x => x.Value.Value); }
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[5540] | 68 | }
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| 69 |
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[5759] | 70 | public IntRange TrainingPartition {
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| 71 | get { return TrainingPartitionParameter.Value; }
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[5540] | 72 | }
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[5759] | 73 | public IntRange TestPartition {
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| 74 | get { return TestPartitionParameter.Value; }
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[5540] | 75 | }
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[5554] | 76 |
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[8331] | 77 | public virtual IEnumerable<int> TrainingIndices {
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[5554] | 78 | get {
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[7265] | 79 | return Enumerable.Range(TrainingPartition.Start, Math.Max(0, TrainingPartition.End - TrainingPartition.Start))
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[6672] | 80 | .Where(IsTrainingSample);
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[5540] | 81 | }
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| 82 | }
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[8331] | 83 | public virtual IEnumerable<int> TestIndices {
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[5554] | 84 | get {
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[7265] | 85 | return Enumerable.Range(TestPartition.Start, Math.Max(0, TestPartition.End - TestPartition.Start))
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[6672] | 86 | .Where(IsTestSample);
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[5554] | 87 | }
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| 88 | }
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[6672] | 89 |
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| 90 | public virtual bool IsTrainingSample(int index) {
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| 91 | return index >= 0 && index < Dataset.Rows &&
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| 92 | TrainingPartition.Start <= index && index < TrainingPartition.End &&
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| 93 | (index < TestPartition.Start || TestPartition.End <= index);
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| 94 | }
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| 95 |
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| 96 | public virtual bool IsTestSample(int index) {
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| 97 | return index >= 0 && index < Dataset.Rows &&
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| 98 | TestPartition.Start <= index && index < TestPartition.End;
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| 99 | }
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[5540] | 100 | #endregion
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| 101 |
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[6236] | 102 | protected DataAnalysisProblemData(DataAnalysisProblemData original, Cloner cloner)
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| 103 | : base(original, cloner) {
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[6666] | 104 | isEmpty = original.isEmpty;
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[6236] | 105 | RegisterEventHandlers();
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| 106 | }
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[5540] | 107 | [StorableConstructor]
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| 108 | protected DataAnalysisProblemData(bool deserializing) : base(deserializing) { }
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[6581] | 109 | [StorableHook(HookType.AfterDeserialization)]
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| 110 | private void AfterDeserialization() {
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| 111 | RegisterEventHandlers();
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| 112 | }
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[5559] | 113 |
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[5554] | 114 | protected DataAnalysisProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables) {
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[5559] | 115 | if (dataset == null) throw new ArgumentNullException("The dataset must not be null.");
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| 116 | if (allowedInputVariables == null) throw new ArgumentNullException("The allowedInputVariables must not be null.");
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| 117 |
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[6740] | 118 | if (allowedInputVariables.Except(dataset.DoubleVariables).Any())
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| 119 | throw new ArgumentException("All allowed input variables must be present in the dataset and of type double.");
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[5554] | 120 |
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[6740] | 121 | var inputVariables = new CheckedItemList<StringValue>(dataset.DoubleVariables.Select(x => new StringValue(x)));
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[5586] | 122 | foreach (StringValue x in inputVariables)
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| 123 | inputVariables.SetItemCheckedState(x, allowedInputVariables.Contains(x.Value));
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[5540] | 124 |
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[5586] | 125 | int trainingPartitionStart = 0;
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| 126 | int trainingPartitionEnd = dataset.Rows / 2;
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| 127 | int testPartitionStart = dataset.Rows / 2;
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| 128 | int testPartitionEnd = dataset.Rows;
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[5540] | 129 |
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[5601] | 130 | Parameters.Add(new FixedValueParameter<Dataset>(DatasetParameterName, "", dataset));
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[5847] | 131 | Parameters.Add(new FixedValueParameter<ReadOnlyCheckedItemList<StringValue>>(InputVariablesParameterName, "", inputVariables.AsReadOnly()));
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[5759] | 132 | Parameters.Add(new FixedValueParameter<IntRange>(TrainingPartitionParameterName, "", new IntRange(trainingPartitionStart, trainingPartitionEnd)));
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| 133 | Parameters.Add(new FixedValueParameter<IntRange>(TestPartitionParameterName, "", new IntRange(testPartitionStart, testPartitionEnd)));
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[5586] | 134 |
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[5601] | 135 | ((ValueParameter<Dataset>)DatasetParameter).ReactOnValueToStringChangedAndValueItemImageChanged = false;
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[5586] | 136 | RegisterEventHandlers();
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[5540] | 137 | }
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[5542] | 138 |
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[5586] | 139 | private void RegisterEventHandlers() {
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| 140 | DatasetParameter.ValueChanged += new EventHandler(Parameter_ValueChanged);
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[5649] | 141 | InputVariables.CheckedItemsChanged += new CollectionItemsChangedEventHandler<IndexedItem<StringValue>>(InputVariables_CheckedItemsChanged);
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[5759] | 142 | TrainingPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
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| 143 | TestPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
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[5540] | 144 | }
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| 145 |
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[5649] | 146 | private void InputVariables_CheckedItemsChanged(object sender, CollectionItemsChangedEventArgs<IndexedItem<StringValue>> e) {
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[5586] | 147 | OnChanged();
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| 148 | }
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[5649] | 149 |
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[5586] | 150 | private void Parameter_ValueChanged(object sender, EventArgs e) {
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| 151 | OnChanged();
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| 152 | }
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| 153 |
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[5554] | 154 | public event EventHandler Changed;
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| 155 | protected virtual void OnChanged() {
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[5540] | 156 | var listeners = Changed;
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| 157 | if (listeners != null) listeners(this, EventArgs.Empty);
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| 158 | }
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| 159 | }
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| 160 | }
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