#region License Information /* HeuristicLab * Copyright (C) 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 HEAL.Attic; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; namespace HeuristicLab.Problems.DataAnalysis { [Item("Transformation", "Represents the base class for a transformation.")] [StorableType("46B380CC-6CDE-40FC-9BB4-E3FF82BA35EA")] public abstract class Transformation : ParameterizedNamedItem, ITransformation { protected const string ColumnParameterName = "Column"; #region parameter properties public IConstrainedValueParameter ColumnParameter { get { return (IConstrainedValueParameter)Parameters[ColumnParameterName]; } } #endregion #region properties public abstract string ShortName { get; } public string Column { get { return ColumnParameter.Value.Value; } set { if (value == null) throw new ArgumentNullException("column", "The provided value for the column is null."); if (value == Column) return; var matchingParameterValue = ColumnParameter.ValidValues.FirstOrDefault(v => v.Value == value); ColumnParameter.Value = matchingParameterValue ?? throw new ArgumentException("The provided value is not valid as the column.", "column"); } } #endregion [StorableConstructor] protected Transformation(StorableConstructorFlag _) : base(_) { } protected Transformation(Transformation original, Cloner cloner) : base(original, cloner) { } protected Transformation(IEnumerable allowedColumns) { var allowed = new ItemSet(allowedColumns.Select(e => new StringValue(e))); Parameters.Add(new ConstrainedValueParameter(ColumnParameterName, "Column used for the Transformation", allowed, allowed.First())); } //TODO: Fill XML comments /// /// Creates transformation for the provided input variables. /// /// /// /// /// /// public static ITransformation[] CreateTransformations(ITransformation transformation, IDataset dataset, int[] rows, IReadOnlyCollection allowedInputVariables) { var trans = new ITransformation[allowedInputVariables.Count]; int i = 0; foreach (var variable in allowedInputVariables) { var trans_clone = (ITransformation)transformation.Clone(); trans_clone.Column = variable; trans_clone.ConfigureParameters(dataset.GetDoubleValues(variable, rows)); trans[i] = trans_clone; i++; } return trans; } } [Item("Transformation", "Represents the base class for a transformation.")] [StorableType("F244DB89-72EA-4B41-89FA-C2E14F30AD29")] public abstract class Transformation : Transformation, ITransformation { [StorableConstructor] protected Transformation(StorableConstructorFlag _) : base(_) { } protected Transformation(Transformation original, Cloner cloner) : base(original, cloner) { } protected Transformation(IEnumerable allowedColumns) : base(allowedColumns) { } public virtual void ConfigureParameters(IEnumerable data) { // override in transformations with parameters } public abstract IEnumerable Apply(IEnumerable data); public IEnumerable ConfigureAndApply(IEnumerable data) { ConfigureParameters(data); return Apply(data); } public abstract bool Check(IEnumerable data, out string errorMsg); } }