#region License Information /* HeuristicLab * Copyright (C) 2002-2019 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.Collections.Generic; using System.Linq; using HeuristicLab.Data; namespace HeuristicLab.Problems.Instances.DataAnalysis { public class PennMLRegressionDataDescriptor : ResourceRegressionDataDescriptor { private readonly string[] variableNames; private readonly string[] allowedInputVariables; private readonly string target; private readonly int trainStart; private readonly int trainEnd; private readonly int testStart; private readonly int testEnd; public PennMLRegressionDataDescriptor(string resourceName) : base(resourceName) { } public PennMLRegressionDataDescriptor(string resourceName, IEnumerable variableNames, IEnumerable allowedInputVariables, string target, IntRange trainRange, IntRange testRange) : this(resourceName) { this.variableNames = variableNames.ToArray(); this.allowedInputVariables = allowedInputVariables.ToArray(); this.target = target; this.trainStart = trainRange.Start; this.trainEnd = trainRange.End; this.testStart = testRange.Start; this.testEnd = testRange.End; } public override string Name { get { return ResourceName.Replace(".csv", ""); } } public override string Description { get { return "No description available."; } } protected override string TargetVariable { get { return target; } } protected override string[] VariableNames { get { return variableNames; } } protected override string[] AllowedInputVariables { get { return allowedInputVariables; } } protected override int TrainingPartitionStart { get { return trainStart; } } protected override int TrainingPartitionEnd { get { return trainEnd; } } protected override int TestPartitionStart { get { return testStart; } } protected override int TestPartitionEnd { get { return testEnd; } } } }