[6238] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11202] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[6238] | 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.Collections.Generic;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Parameters;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis {
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| 30 | [StorableClass]
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| 31 | [Item("RegressionEnsembleProblemData", "Represents an item containing all data defining a regression problem.")]
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| 32 | public sealed class RegressionEnsembleProblemData : RegressionProblemData {
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| 33 |
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[6672] | 34 | public override bool IsTrainingSample(int index) {
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| 35 | return index >= 0 && index < Dataset.Rows &&
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| 36 | TrainingPartition.Start <= index && index < TrainingPartition.End;
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[6238] | 37 | }
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| 38 |
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[6672] | 39 | public override bool IsTestSample(int index) {
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| 40 | return index >= 0 && index < Dataset.Rows &&
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| 41 | TestPartition.Start <= index && index < TestPartition.End;
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[6238] | 42 | }
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| 43 |
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[6672] | 44 | private static readonly RegressionEnsembleProblemData emptyProblemData;
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[6666] | 45 | public new static RegressionEnsembleProblemData EmptyProblemData {
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| 46 | get { return emptyProblemData; }
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| 47 | }
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| 48 | static RegressionEnsembleProblemData() {
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| 49 | var problemData = new RegressionEnsembleProblemData();
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| 50 | problemData.Parameters.Clear();
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| 51 | problemData.Name = "Empty Regression ProblemData";
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| 52 | problemData.Description = "This ProblemData acts as place holder before the correct problem data is loaded.";
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| 53 | problemData.isEmpty = true;
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| 54 |
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| 55 | problemData.Parameters.Add(new FixedValueParameter<Dataset>(DatasetParameterName, "", new Dataset()));
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| 56 | problemData.Parameters.Add(new FixedValueParameter<ReadOnlyCheckedItemList<StringValue>>(InputVariablesParameterName, ""));
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| 57 | problemData.Parameters.Add(new FixedValueParameter<IntRange>(TrainingPartitionParameterName, "", (IntRange)new IntRange(0, 0).AsReadOnly()));
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| 58 | problemData.Parameters.Add(new FixedValueParameter<IntRange>(TestPartitionParameterName, "", (IntRange)new IntRange(0, 0).AsReadOnly()));
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| 59 | problemData.Parameters.Add(new ConstrainedValueParameter<StringValue>(TargetVariableParameterName, new ItemSet<StringValue>()));
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| 60 | emptyProblemData = problemData;
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| 61 | }
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| 62 |
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[6238] | 63 | [StorableConstructor]
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| 64 | private RegressionEnsembleProblemData(bool deserializing) : base(deserializing) { }
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[6666] | 65 | private RegressionEnsembleProblemData(RegressionEnsembleProblemData original, Cloner cloner) : base(original, cloner) { }
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| 66 | public override IDeepCloneable Clone(Cloner cloner) {
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| 67 | if (this == emptyProblemData) return emptyProblemData;
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| 68 | return new RegressionEnsembleProblemData(this, cloner);
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[6238] | 69 | }
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| 70 |
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[6666] | 71 | public RegressionEnsembleProblemData() : base() { }
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[6238] | 72 | public RegressionEnsembleProblemData(IRegressionProblemData regressionProblemData)
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| 73 | : base(regressionProblemData.Dataset, regressionProblemData.AllowedInputVariables, regressionProblemData.TargetVariable) {
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| 74 | TrainingPartition.Start = regressionProblemData.TrainingPartition.Start;
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| 75 | TrainingPartition.End = regressionProblemData.TrainingPartition.End;
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| 76 | TestPartition.Start = regressionProblemData.TestPartition.Start;
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| 77 | TestPartition.End = regressionProblemData.TestPartition.End;
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| 78 | }
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[6666] | 79 | public RegressionEnsembleProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable)
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| 80 | : base(dataset, allowedInputVariables, targetVariable) {
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| 81 | }
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[6238] | 82 | }
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| 83 | }
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