#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Collections; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.ConditionActionEncoding; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.DataAnalysis; namespace HeuristicLab.Problems.ConditionActionClassification { [StorableClass] [Item("ConditionActionClassificationProblemData", "A problem data for LCS.")] public abstract class ConditionActionClassificationProblemData : ParameterizedNamedItem, IConditionActionProblemData { #region default data public static string[] defaultVariableNames = new string[] { "a", "b", "c", "d", "e", "f", "g" }; public static double[,] defaultData = new double[,]{ {0,0,1,1,0,0,0}, {0,1,1,1,0,0,0}, {0,0,1,0,0,0,1}, {1,0,1,0,1,1,0} }; #endregion #region parameter properites public IFixedValueParameter DatasetParameter { get { return (IFixedValueParameter)Parameters["Dataset"]; } } public IFixedValueParameter> ConditionVariablesParameter { get { return (IFixedValueParameter>)Parameters["ConditionVariables"]; } } public IFixedValueParameter> ActionVariablesParameter { get { return (IFixedValueParameter>)Parameters["ActionVariables"]; } } public IFixedValueParameter TrainingPartitionParameter { get { return (IFixedValueParameter)Parameters["TrainingPartition"]; } } public IFixedValueParameter TestPartitionParameter { get { return (IFixedValueParameter)Parameters["TestPartition"]; } } #endregion #region properties public Dataset Dataset { get { return DatasetParameter.Value; } } public ICheckedItemList ConditionVariables { get { return ConditionVariablesParameter.Value; } } public ICheckedItemList ActionVariables { get { return ActionVariablesParameter.Value; } } public IEnumerable AllowedConditionVariables { get { return ConditionVariables.CheckedItems.Select(x => x.Value.Value); } } public IEnumerable AllowedActionVariables { get { return ActionVariables.CheckedItems.Select(x => x.Value.Value); } } public IntRange TrainingPartition { get { return TrainingPartitionParameter.Value; } } public IntRange TestPartition { get { return TestPartitionParameter.Value; } } public IEnumerable TrainingIndices { get { return Enumerable.Range(TrainingPartition.Start, Math.Max(0, TrainingPartition.End - TrainingPartition.Start)) .Where(IsTrainingSample); } } public IEnumerable TestIndices { get { return Enumerable.Range(TestPartition.Start, Math.Max(0, TestPartition.End - TestPartition.Start)) .Where(IsTestSample); } } public bool IsTrainingSample(int index) { return index >= 0 && index < Dataset.Rows && TrainingPartition.Start <= index && index < TrainingPartition.End && (index < TestPartition.Start || TestPartition.End <= index); } public bool IsTestSample(int index) { return index >= 0 && index < Dataset.Rows && TestPartition.Start <= index && index < TestPartition.End; } public abstract IClassifierComparer ClassifierComparer { get; } #endregion [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { RegisterParameterEvents(); } [StorableConstructor] protected ConditionActionClassificationProblemData(bool deserializing) : base(deserializing) { } protected ConditionActionClassificationProblemData(ConditionActionClassificationProblemData original, Cloner cloner) : base(original, cloner) { RegisterParameterEvents(); } public ConditionActionClassificationProblemData(Dataset dataset, IEnumerable allowedConditionVariables, IEnumerable allowedActionVariables) { if (dataset == null) throw new ArgumentNullException("The dataset must not be null."); if (allowedActionVariables == null) throw new ArgumentNullException("The allowedActionVariables must not be null."); if (allowedConditionVariables == null) throw new ArgumentNullException("The allowedActionVariables must not be null."); var actionVariables = CheckVariablesForPossibleTargetVariables(dataset); foreach (StringValue x in actionVariables) { actionVariables.SetItemCheckedState(x, allowedActionVariables.Contains(x.Value)); } var conditionVariables = new CheckedItemList(dataset.VariableNames.Select(x => new StringValue(x))); foreach (StringValue x in conditionVariables) { conditionVariables.SetItemCheckedState(x, allowedConditionVariables.Contains(x.Value)); } int trainingPartitionStart = 0; int trainingPartitionEnd = dataset.Rows / 2; int testPartitionStart = dataset.Rows / 2; int testPartitionEnd = dataset.Rows; Parameters.Add(new FixedValueParameter("Dataset", "", dataset)); Parameters.Add(new FixedValueParameter>("ActionVariables", "", actionVariables.AsReadOnly())); Parameters.Add(new FixedValueParameter>("ConditionVariables", "", conditionVariables.AsReadOnly())); Parameters.Add(new FixedValueParameter("TrainingPartition", "", new IntRange(trainingPartitionStart, trainingPartitionEnd))); Parameters.Add(new FixedValueParameter("TestPartition", "", new IntRange(testPartitionStart, testPartitionEnd))); ((ValueParameter)DatasetParameter).ReactOnValueToStringChangedAndValueItemImageChanged = false; RegisterParameterEvents(); } protected virtual CheckedItemList CheckVariablesForPossibleTargetVariables(DataAnalysis.Dataset dataset) { return new CheckedItemList(dataset.VariableNames.Select(x => new StringValue(x))); } public event EventHandler Changed; protected virtual void OnChanged() { var listeners = Changed; if (listeners != null) listeners(this, EventArgs.Empty); } public IEnumerable FetchInput(IEnumerable rows) { foreach (var row in rows) { yield return FetchInput(row); } } public abstract IInput FetchInput(int rowNumber); public IEnumerable FetchAction(IEnumerable rows) { foreach (var row in rows) { yield return FetchAction(row); } } public abstract IAction FetchAction(int rowNumber); protected IDictionary fetchInputCache = new Dictionary(); #region events private void RegisterParameterEvents() { ConditionVariablesParameter.ValueChanged += new EventHandler(VariablesChanged); ConditionVariablesParameter.Value.CheckedItemsChanged += new CollectionItemsChangedEventHandler>(VariablesChanged); ActionVariablesParameter.ValueChanged += new EventHandler(VariablesChanged); ActionVariablesParameter.Value.CheckedItemsChanged += new CollectionItemsChangedEventHandler>(VariablesChanged); } private void DeregisterParameterEvents() { ActionVariablesParameter.Value.CheckedItemsChanged += new CollectionItemsChangedEventHandler>(VariablesChanged); ActionVariablesParameter.ValueChanged += new EventHandler(VariablesChanged); ConditionVariablesParameter.Value.CheckedItemsChanged += new CollectionItemsChangedEventHandler>(VariablesChanged); ConditionVariablesParameter.ValueChanged += new EventHandler(VariablesChanged); } private void Value_CheckedItemsChanged(object sender, CollectionItemsChangedEventArgs> e) { ActionConditionVariablesChanged(); } private void VariablesChanged(object sender, EventArgs e) { ActionConditionVariablesChanged(); } protected abstract void ActionConditionVariablesChanged(); #endregion #region IDataAnalysisProblemData Members public bool IsEmpty { get { return true; } } public ICheckedItemList InputVariables { get { return ConditionVariables; } } public IEnumerable AllowedInputVariables { get { return AllowedConditionVariables; } } #endregion } }