source: branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/UCITimeSeries/UCITimeSeriesProvider.cs

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.IO.Compression;

namespace HeuristicLab.Problems.Instances.DataAnalysis {
  public class UCITimeSeriesProvider : ResourceRegressionInstanceProvider {
    public override string Name {
      get { return "UCI Time Series"; }
    }

    public override string Description {
      get { return "Some selected instances of the UCI Machine Learning Repository that contain time series or vectorial data."; }
    }

    public override Uri WebLink {
      get { return new Uri("https://archive.ics.uci.edu/ml/datasets.php?format=&task=reg&att=&area=&numAtt=&numIns=&type=ts&sort=taskUp&view=table"); }
    }

    public override string ReferencePublication {
      get { return "Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science."; }
    }

    protected override string FileName {
      get { return "UCITimeSeries"; }
    }

    public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
      return new IDataDescriptor[] {
        new GasFlowModulation(),
        new HydraulicConditionMonitoring(),
        new SocialMediaBuzzTwitter(),
        new SocialMediaBuzzTomsHardware()
      };
    }

    protected override Stream OpenResourceStream(string fileName) {
      var instanceArchiveName = Path.Combine("Regression", "Data", fileName + ".zip");
      return new FileStream(instanceArchiveName, FileMode.Open, FileAccess.Read, FileShare.Read);
    }

    protected override TableFileFormatOptions GetFormatOptions(ZipArchiveEntry entry) {
      return new TableFileFormatOptions {
        NumberFormat = NumberFormatInfo.InvariantInfo,
        DateTimeFormat = DateTimeFormatInfo.InvariantInfo,
        ColumnSeparator = ';',
        VectorSeparator = ','
      };
    }
  }
}