#region License Information
/* HeuristicLab
* Copyright (C) 2002-2011 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.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.DataAnalysis {
[StorableClass]
public abstract class DataAnalysisProblemData : ParameterizedNamedItem, IDataAnalysisProblemData {
private const string DatasetParameterName = "Dataset";
private const string InputVariablesParameterName = "InputVariables";
private const string TrainingPartitionParameterName = "TrainingPartition";
private const string TestPartitionParameterName = "TestPartition";
#region parameter properites
public IFixedValueParameter DatasetParameter {
get { return (IFixedValueParameter)Parameters[DatasetParameterName]; }
}
public IFixedValueParameter> InputVariablesParameter {
get { return (IFixedValueParameter>)Parameters[InputVariablesParameterName]; }
}
public IFixedValueParameter TrainingPartitionParameter {
get { return (IFixedValueParameter)Parameters[TrainingPartitionParameterName]; }
}
public IFixedValueParameter TestPartitionParameter {
get { return (IFixedValueParameter)Parameters[TestPartitionParameterName]; }
}
#endregion
#region propeties
public Dataset Dataset {
get { return DatasetParameter.Value; }
}
public ICheckedItemList InputVariables {
get { return InputVariablesParameter.Value; }
}
public IEnumerable AllowedInputVariables {
get { return InputVariables.CheckedItems.Select(x => x.Value.Value); }
}
public IntRange TrainingPartition {
get { return TrainingPartitionParameter.Value; }
}
public IntRange TestPartition {
get { return TestPartitionParameter.Value; }
}
public IEnumerable TrainingIndizes {
get {
return Enumerable.Range(TrainingPartition.Start, TrainingPartition.End - TrainingPartition.Start)
.Where(i => i >= 0 && i < Dataset.Rows && (i < TestPartition.Start || TestPartition.End <= i));
}
}
public IEnumerable TestIndizes {
get {
return Enumerable.Range(TestPartition.Start, TestPartition.End - TestPartition.Start)
.Where(i => i >= 0 && i < Dataset.Rows);
}
}
#endregion
protected DataAnalysisProblemData(DataAnalysisProblemData original, Cloner cloner) : base(original, cloner) { }
[StorableConstructor]
protected DataAnalysisProblemData(bool deserializing) : base(deserializing) { }
protected DataAnalysisProblemData(Dataset dataset, IEnumerable allowedInputVariables) {
if (dataset == null) throw new ArgumentNullException("The dataset must not be null.");
if (allowedInputVariables == null) throw new ArgumentNullException("The allowedInputVariables must not be null.");
if (allowedInputVariables.Except(dataset.VariableNames).Any())
throw new ArgumentException("All allowed input variables must be present in the dataset.");
var inputVariables = new CheckedItemList(dataset.VariableNames.Select(x => new StringValue(x)));
foreach (StringValue x in inputVariables)
inputVariables.SetItemCheckedState(x, allowedInputVariables.Contains(x.Value));
int trainingPartitionStart = 0;
int trainingPartitionEnd = dataset.Rows / 2;
int testPartitionStart = dataset.Rows / 2;
int testPartitionEnd = dataset.Rows;
Parameters.Add(new FixedValueParameter(DatasetParameterName, "", dataset));
Parameters.Add(new FixedValueParameter>(InputVariablesParameterName, "", inputVariables.AsReadOnly()));
Parameters.Add(new FixedValueParameter(TrainingPartitionParameterName, "", new IntRange(trainingPartitionStart, trainingPartitionEnd)));
Parameters.Add(new FixedValueParameter(TestPartitionParameterName, "", new IntRange(testPartitionStart, testPartitionEnd)));
((ValueParameter)DatasetParameter).ReactOnValueToStringChangedAndValueItemImageChanged = false;
RegisterEventHandlers();
}
private void RegisterEventHandlers() {
DatasetParameter.ValueChanged += new EventHandler(Parameter_ValueChanged);
InputVariables.CheckedItemsChanged += new CollectionItemsChangedEventHandler>(InputVariables_CheckedItemsChanged);
TrainingPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
TestPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
}
private void InputVariables_CheckedItemsChanged(object sender, CollectionItemsChangedEventArgs> e) {
OnChanged();
}
private void Parameter_ValueChanged(object sender, EventArgs e) {
OnChanged();
}
public event EventHandler Changed;
protected virtual void OnChanged() {
var listeners = Changed;
if (listeners != null) listeners(this, EventArgs.Empty);
}
}
}