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Changeset 17448


Ignore:
Timestamp:
02/25/20 07:41:01 (5 years ago)
Author:
pfleck
Message:

#3040 Replaced own Vector with MathNet.Numerics Vector.

Location:
branches/3040_VectorBasedGP
Files:
2 deleted
25 edited

Legend:

Unmodified
Added
Removed

  • branches/3040_VectorBasedGP/HeuristicLab.DataPreprocessing/3.4/Data/PreprocessingData.cs

    r17418 r17448  
    3131using HeuristicLab.Problems.DataAnalysis;
    3232
     33using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     34
    3335namespace HeuristicLab.DataPreprocessing {
    3436

  • branches/3040_VectorBasedGP/HeuristicLab.DataPreprocessing/3.4/HeuristicLab.DataPreprocessing-3.4.csproj

    r16658 r17448  
    7373  </PropertyGroup>
    7474  <ItemGroup>
     75    <Reference Include="MathNet.Numerics, Version=4.9.0.0, Culture=neutral, processorArchitecture=MSIL">
     76      <SpecificVersion>False</SpecificVersion>
     77      <HintPath>..\..\bin\MathNet.Numerics.dll</HintPath>
     78    </Reference>
    7579    <Reference Include="System" />
    7680    <Reference Include="System.Core" />

  • branches/3040_VectorBasedGP/HeuristicLab.DataPreprocessing/3.4/Plugin.cs.frame

    r17184 r17448  
    3939  [PluginDependency("HeuristicLab.Random", "3.3")]
    4040  [PluginDependency("HeuristicLab.Visualization.ChartControlsExtensions", "3.3")]
     41  [PluginDependency("HeuristicLab.MathNet.Numerics", "4.9.0")]
    4142  public class HeuristicLabDataPreprocessingPlugin : PluginBase {
    4243  }

  • branches/3040_VectorBasedGP/HeuristicLab.MathNet.Numerics/HeuristicLab.MathNet.Numerics.csproj

    r17447 r17448  
    4848  </ItemGroup>
    4949  <ItemGroup>
    50     <PackageReference Include="MathNet.Numerics">
     50    <PackageReference Include="MathNet.Numerics.Signed">
    5151      <Version>4.9.0</Version>
    5252    </PackageReference>

  • branches/3040_VectorBasedGP/HeuristicLab.MathNet.Numerics/Plugin.cs.frame

    r17447 r17448  
    2424namespace HeuristicLab.MathNet.Numerics {
    2525  [Plugin("HeuristicLab.MathNet.Numerics", "HeuristicLab wrapper for MathNet.Numerics nuget package.", "4.9.0.$WCREV$")]
    26   [PluginFile("HeuristicLab.MathNet.Numerics", PluginFileType.Assembly)]
     26  [PluginFile("HeuristicLab.MathNet.Numerics.dll", PluginFileType.Assembly)]
    2727  [PluginFile("MathNet.Numerics.dll", PluginFileType.Assembly)]
    2828  //[PluginFile("MathNet.Numerics.License.txt", PluginFileType.License)]

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj

    r17401 r17448  
    115115      <HintPath>..\..\bin\HeuristicLab.Problems.DataAnalysis.Symbolic.NativeInterpreter-0.1.dll</HintPath>
    116116      <Private>False</Private>
     117    </Reference>
     118    <Reference Include="MathNet.Numerics, Version=4.9.0.0, Culture=neutral, processorArchitecture=MSIL">
     119      <SpecificVersion>False</SpecificVersion>
     120      <HintPath>..\..\bin\MathNet.Numerics.dll</HintPath>
    117121    </Reference>
    118122    <Reference Include="System" />

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionTreeInterpreter.cs

    r17401 r17448  
    2020#endregion
    2121
     22using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     23
    2224using System;
    2325using System.Collections.Generic;
    … …  
    2830using HeuristicLab.Parameters;
    2931using HEAL.Attic;
     32using MathNet.Numerics.Statistics;
    3033
    3134namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    566569            DoubleVector s = VectorEvaluate(dataset, ref row, state);
    567570            for (int i = 1; i < currentInstr.nArguments; i++) {
    568               s *= VectorEvaluate(dataset, ref row, state);
     571              s = s.PointwiseMultiply(VectorEvaluate(dataset, ref row, state));
    569572            }
    570573            return s;
    … …  
    579582
    580583        case OpCodes.VectorVariable: {
    581             if (row < 0 || row >= dataset.Rows) return new DoubleVector(new[] { double.NaN });
     584            if (row < 0 || row >= dataset.Rows) return DoubleVector.Build.Dense(new[] { double.NaN });
    582585            var vectorVarTreeNode = currentInstr.dynamicNode as VectorVariableTreeNode;
    583586            return ((IList<DoubleVector>)currentInstr.data)[row] * vectorVarTreeNode.Weight;

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Plugin.cs.frame

    r17184 r17448  
    4747  [PluginDependency("HeuristicLab.Random", "3.3")]
    4848  [PluginDependency("HeuristicLab.Selection", "3.3")]
     49  [PluginDependency("HeuristicLab.MathNet.Numerics", "4.9.0")]
    4950  public class HeuristicLabProblemsDataAnalysisSymbolicPlugin : PluginBase {
    5051  }

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisProblem.cs

    r17369 r17448  
    3535using HeuristicLab.Problems.Instances;
    3636
     37using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     38
    3739namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    3840  [StorableType("59935E69-C4A5-480E-8FFB-D9669DE9BFD4")]

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/Dataset.cs

    r17403 r17448  
    3030using HeuristicLab.Data;
    3131
     32using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     33
    3234namespace HeuristicLab.Problems.DataAnalysis {
    3335  [Item("Dataset", "Represents a dataset containing data that should be analyzed.")]
    … …  
    144146        else if (iter.Current[i] is DoubleVector dv)
    145147          transposed.Add(new List<DoubleVector>() { dv });
    146         else if (iter.Current[i] is StringVector sv)
    147           transposed.Add(new List<StringVector>() { sv });
    148         else if (iter.Current[i] is DateTimeVector dtv)
    149           transposed.Add(new List<DateTimeVector>() { dtv });
    150148        else throw new NotSupportedException(string.Format("Variable {0} has type {1}. This is not supported when converting from row-wise data.", vnames[i], iter.Current[i].GetType()));
    151149      }
    … …  
    227225      get { return variableValues.Where(p => p.Value is IList<DoubleVector>).Select(p => p.Key); }
    228226    }
    229     public IEnumerable<string> StringVectorVariables {
    230       get { return variableValues.Where(p => p.Value is IList<StringVector>).Select(p => p.Key); }
    231     }
    232     public IEnumerable<string> DateTimeVectorVariables {
    233       get { return variableValues.Where(p => p.Value is IList<DateTimeVector>).Select(p => p.Key); }
    234     }
    235227
    236228    public IEnumerable<double> GetDoubleValues(string variableName) {
    … …  
    245237    public IEnumerable<DoubleVector> GetDoubleVectorValues(string variableName) {
    246238      return GetValues<DoubleVector>(variableName);
    247     }
    248     public IEnumerable<StringVector> GetStringVectorValues(string variableName) {
    249       return GetValues<StringVector>(variableName);
    250     }
    251     public IEnumerable<DateTimeVector> GetDateTimeVectorValues(string variableName) {
    252       return GetValues<DateTimeVector>(variableName);
    253239    }
    254240
    … …  
    299285      var values = GetValues<DoubleVector>(variableName);
    300286      return new ReadOnlyCollection<DoubleVector>(values);
    301     }
    302 
    303     public StringVector GetStringVectorValue(string variableName, int row) {
    304       var values = GetValues<StringVector>(variableName);
    305       return values[row];
    306     }
    307     public IEnumerable<StringVector> GetStringVectorValues(string variableName, IEnumerable<int> rows) {
    308       return GetValues<StringVector>(variableName, rows);
    309     }
    310     public ReadOnlyCollection<StringVector> GetReadOnlyStringVectorValues(string variableName) {
    311       var values = GetValues<StringVector>(variableName);
    312       return new ReadOnlyCollection<StringVector>(values);
    313     }
    314 
    315     public DateTimeVector GetDateTimeVectorValue(string variableName, int row) {
    316       var values = GetValues<DateTimeVector>(variableName);
    317       return values[row];
    318     }
    319     public IEnumerable<DateTimeVector> GetDateTimeVectorValues(string variableName, IEnumerable<int> rows) {
    320       return GetValues<DateTimeVector>(variableName, rows);
    321     }
    322     public ReadOnlyCollection<DateTimeVector> GetReadOnlyDateTimeVectorValues(string variableName) {
    323       var values = GetValues<DateTimeVector>(variableName);
    324       return new ReadOnlyCollection<DateTimeVector>(values);
    325287    }
    326288
    … …  
    356318    }
    357319    protected static bool IsAllowedType(Type type) {
    358       return type == typeof(double) || type == typeof(string) || type == typeof(DateTime)
    359              || type == typeof(DoubleVector) || type == typeof(StringVector) || type == typeof(DateTimeVector);
     320      return type == typeof(double) || type == typeof(string) || type == typeof(DateTime) || type == typeof(DoubleVector);
    360321    }
    361322
    … …  
    403364
    404365      var doubleVectorValues = values as IList<DoubleVector>;
    405       if (doubleVectorValues != null) return doubleVectorValues.Select(x => new DoubleVector(x)).ToList();
    406 
    407       var stringVectorValues = values as IList<StringVector>;
    408       if (stringVectorValues != null) return stringVectorValues.Select(x => new StringVector(x)).ToList();
    409 
    410       var dateTimeVectorValues = values as IList<DateTimeVector>;
    411       if (dateTimeVectorValues != null) return dateTimeVectorValues.Select(x => new DateTimeVector(x)).ToList();
     366      if (doubleVectorValues != null) return doubleVectorValues.Select(x => DoubleVector.Build.DenseOfVector(x)).ToList();
    412367
    413368      throw new ArgumentException(string.Format("Unsupported variable type {0}.", GetElementType(values)));
    … …  
    450405    string IStringConvertibleMatrix.GetValue(int rowIndex, int columnIndex) {
    451406      var value = variableValues[variableNames[columnIndex]][rowIndex];
    452       if (value is IVector vector) {
    453         const int maxCount = 10;
    454         string extension = vector.Count > maxCount ? ", ..." : "";
    455         return $"[{string.Join(", ", vector.Cast<object>().Take(Math.Min(vector.Count, maxCount)))}{extension}]";
     407      if (value is DoubleVector vector) {
     408        return $"[{vector.ToVectorString(10, 80)}]";
     409        //const int maxCount = 10;
     410        //string extension = vector.Count > maxCount ? ", ..." : "";
     411        //return $"[{string.Join(", ", vector.Cast<object>().Take(Math.Min(vector.Count, maxCount)))}{extension}]";
    456412      }
    457413

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj

    r17365 r17448  
    103103      <Private>False</Private>
    104104    </Reference>
     105    <Reference Include="MathNet.Numerics, Version=4.9.0.0, Culture=neutral, processorArchitecture=MSIL">
     106      <SpecificVersion>False</SpecificVersion>
     107      <HintPath>..\..\bin\MathNet.Numerics.dll</HintPath>
     108      <Private>False</Private>
     109    </Reference>
    105110    <Reference Include="System" />
    106111    <Reference Include="System.Core">
    … …  
    167172    <Compile Include="Implementation\Transformations\ShiftToRangeTransformation.cs" />
    168173    <Compile Include="Implementation\Transformations\Transformation.cs" />
    169     <Compile Include="Implementation\Vectors\DateTimeVector.cs" />
    170     <Compile Include="Implementation\Vectors\StringVector.cs" />
    171     <Compile Include="Implementation\Vectors\DoubleVector.cs" />
    172     <Compile Include="Implementation\Vectors\Vector.cs" />
    173174    <Compile Include="Interfaces\Classification\IClassificationEnsembleModel.cs">
    174175      <SubType>Code</SubType>
    … …  
    183184    <Compile Include="Interfaces\ITransformation.cs" />
    184185    <Compile Include="Interfaces\ITransformationMapper.cs" />
    185     <Compile Include="Interfaces\IVector.cs" />
    186186    <Compile Include="Interfaces\Regression\IConfidenceRegressionModel.cs" />
    187187    <Compile Include="Interfaces\Regression\IConfidenceRegressionSolution.cs" />

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/DataAnalysisProblemData.cs

    r17365 r17448  
    3030using HEAL.Attic;
    3131
     32using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     33
    3234namespace HeuristicLab.Problems.DataAnalysis {
    3335  [StorableType("85AE1542-D563-434F-A760-1D181EFC2101")]
    … …  
    162164
    163165      var variables = dataset.VariableNames.Where(variable =>
    164         dataset.VariableHasType<double>(variable) || dataset.VariableHasType<string>(variable) || dataset.VariableHasType<DoubleVector> (variable));
     166        dataset.VariableHasType<double>(variable) || dataset.VariableHasType<string>(variable) || dataset.VariableHasType<DoubleVector>(variable));
    165167      var inputVariables = new CheckedItemList<StringValue>(variables.Select(x => new StringValue(x).AsReadOnly()));
    166168      foreach (StringValue x in inputVariables)

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolutionVariableImpactsCalculator.cs

    r17416 r17448  
    3333using HeuristicLab.Random;
    3434
     35using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     36
    3537namespace HeuristicLab.Problems.DataAnalysis {
    3638  [StorableType("414B25CD-6643-4E42-9EB2-B9A24F5E1528")]
    … …  
    319321          // new var has same empirical distribution but the relation to y is broken
    320322          // prepare a complete column for the dataset
    321           replacementValues = Enumerable.Repeat(new DoubleVector(new[] { double.NaN }), modifiableDataset.Rows).ToList();
     323          replacementValues = Enumerable.Repeat(DoubleVector.Build.Dense(new[] { double.NaN }), modifiableDataset.Rows).ToList();
    322324          // shuffle only the selected rows
    323325          var shuffledValues = rows.Select(r => originalValues[r]).Shuffle(random).ToList();

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataset.cs

    r17365 r17448  
    2727using HEAL.Attic;
    2828
     29using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     30
    2931namespace HeuristicLab.Problems.DataAnalysis {
    3032  [StorableType("55cc9211-2136-41a0-a5bc-0d51e915d1b4")]
    … …  
    3537    IEnumerable<string> DateTimeVariables { get; }
    3638    IEnumerable<string> DoubleVectorVariables { get; }
    37     IEnumerable<string> StringVectorVariables { get; }
    38     IEnumerable<string> DateTimeVectorVariables { get; }
    3939
    4040    bool ContainsVariable(string variablename);
    … …  
    6060    IEnumerable<DoubleVector> GetDoubleVectorValues(string variableName, IEnumerable<int> rows);
    6161    ReadOnlyCollection<DoubleVector> GetReadOnlyDoubleVectorValues(string variableName);
    62 
    63     StringVector GetStringVectorValue(string variableName, int row);
    64     IEnumerable<StringVector> GetStringVectorValues(string variableName);
    65     IEnumerable<StringVector> GetStringVectorValues(string variableName, IEnumerable<int> rows);
    66     ReadOnlyCollection<StringVector> GetReadOnlyStringVectorValues(string variableName);
    67 
    68     DateTimeVector GetDateTimeVectorValue(string variableName, int row);
    69     IEnumerable<DateTimeVector> GetDateTimeVectorValues(string variableName);
    70     IEnumerable<DateTimeVector> GetDateTimeVectorValues(string variableName, IEnumerable<int> rows);
    71     ReadOnlyCollection<DateTimeVector> GetReadOnlyDateTimeVectorValues(string variableName);
    7262  }
    7363}

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis/3.4/Plugin.cs.frame

    r17184 r17448  
    3939  [PluginDependency("HeuristicLab.Problems.Instances", "3.3")] 
    4040  [PluginDependency("HeuristicLab.Random", "3.3")]
     41  [PluginDependency("HeuristicLab.MathNet.Numerics", "4.9.0")]
    4142  public class HeuristicLabProblemsDataAnalysisPlugin : PluginBase {
    4243  }

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Classification/TimeSeries/TimeSeriesInstanceProvider.cs

    r17418 r17448  
    3030using System.Linq;
    3131using HeuristicLab.Problems.DataAnalysis;
     32
     33using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
    3234
    3335namespace HeuristicLab.Problems.Instances.DataAnalysis {
    … …  
    160162          var numbers = variable
    161163            .Split(',')
    162             .Select(ParseNumber)
    163             .ToList();
    164           inputsData[i].Add(new DoubleVector(numbers));
     164            .Select(ParseNumber);
     165          inputsData[i].Add(DoubleVector.Build.DenseOfEnumerable(numbers));
    165166        }
    166167

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/HeuristicLab.Problems.Instances.DataAnalysis-3.3.csproj

    r17418 r17448  
    114114      <SpecificVersion>False</SpecificVersion>
    115115      <HintPath>..\..\bin\ALGLIB-3.7.0.dll</HintPath>
     116    </Reference>
     117    <Reference Include="MathNet.Numerics, Version=4.9.0.0, Culture=neutral, processorArchitecture=MSIL">
     118      <SpecificVersion>False</SpecificVersion>
     119      <HintPath>..\..\bin\MathNet.Numerics.dll</HintPath>
    116120    </Reference>
    117121    <Reference Include="System" />

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Plugin.cs.frame

    r17184 r17448  
    3535  [PluginDependency("HeuristicLab.Problems.Instances", "3.3")]
    3636  [PluginDependency("HeuristicLab.Random", "3.3")]
     37  [PluginDependency("HeuristicLab.MathNet.Numerics", "4.9.0")]
    3738  public class HeuristicLabProblemsInstancesDataAnalysisPlugin : PluginBase {
    3839  }

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/AzzaliBenchmark1.cs

    r17418 r17448  
    1 using System;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using System;
    223using System.Collections;
    324using System.Collections.Generic;
    … …  
    728using HeuristicLab.Problems.DataAnalysis;
    829using HeuristicLab.Random;
     30using MathNet.Numerics.Statistics;
     31
     32using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
    933
    1034namespace HeuristicLab.Problems.Instances.DataAnalysis {

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/AzzaliBenchmark2.cs

    r17418 r17448  
    1 using System;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using System;
    223using System.Collections;
    324using System.Collections.Generic;
    … …  
    728using HeuristicLab.Problems.DataAnalysis;
    829using HeuristicLab.Random;
     30using MathNet.Numerics.Statistics;
     31
     32using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
    933
    1034namespace HeuristicLab.Problems.Instances.DataAnalysis {
    1135  public class AzzaliBenchmark2 : ArtificialRegressionDataDescriptor {
    12     public override string Name { get { return "Azzali Benchmark2 B2 = ((X3 + X1) / mean(X4)) * X2"; } }
     36    public override string Name { get { return "Azzali Benchmark2 B2 = ((X3 + X1) / CumMean(X4)) * X2"; } }
    1337    public override string Description { get { return "I. Azzali, L. Vanneschi, S. Silva, I. Bakurov, and M. Giacobini, “A Vectorial Approach to Genetic Programming,” EuroGP, pp. 213–227, 2019."; } }
    1438
    … …  
    4771        var x4 = rand.NextDoubleVector(-5, +5, 10);
    4872
    49         var b2 = ((x3 + x1) / x4.CumulativeMean()) * x2;
     73        var cumMean = x4.MapIndexed((j, v) => x4.SubVector(0, j + 1).Mean());
     74        var b2 = ((x3 + x1) / cumMean) * x2;
    5075
    5176        x1Column.Add(x1);

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/AzzaliBenchmark3.cs

    r17418 r17448  
    1 using System;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using System;
    223using System.Collections;
    324using System.Collections.Generic;
    … …  
    829using HeuristicLab.Random;
    930
     31using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     32
    1033namespace HeuristicLab.Problems.Instances.DataAnalysis {
    1134  public class AzzaliBenchmark3 : ArtificialRegressionDataDescriptor {
    12     public override string Name { get { return "Azzali Benchmark2 B3 = "; } }
     35    public override string Name { get { return "Azzali Benchmark2 B3 = CumMin[3,3] * (X2 / X3) + X4"; } }
    1336    public override string Description { get { return "I. Azzali, L. Vanneschi, S. Silva, I. Bakurov, and M. Giacobini, “A Vectorial Approach to Genetic Programming,” EuroGP, pp. 213–227, 2019."; } }
    1437
    … …  
    4972        var x5 = rand.NextDouble(0, 1);
    5073
    51         int p = 3, q = 3;
    52         var cumulativeMin = new DoubleVector(
     74        const int p = 3, q = 3;
     75        var cumulativeMin = DoubleVector.Build.DenseOfEnumerable(
    5376          Enumerable.Range(0, x1.Count)
    5477            .Select(idx => Enumerable.Range(idx - p, q)) // build index ranges for each target entry

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/AzzaliKorns5.cs

    r17418 r17448  
    1 using System;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using System;
    223using System.Collections;
    324using System.Collections.Generic;
    … …  
    829using HeuristicLab.Random;
    930
     31using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     32
    1033namespace HeuristicLab.Problems.Instances.DataAnalysis {
    1134  public class AzzaliKorns5 : ArtificialRegressionDataDescriptor {
    12     public override string Name { get { return "Azzali Korns5 K5 ="; } }
     35    public override string Name { get { return "Azzali Korns5 K5 = 3.0 + 2.23 * log(X4)"; } }
    1336    public override string Description { get { return "I. Azzali, L. Vanneschi, S. Silva, I. Bakurov, and M. Giacobini, “A Vectorial Approach to Genetic Programming,” EuroGP, pp. 213–227, 2019."; } }
    1437
    … …  
    4770        var x4 = rand.NextDoubleVector(-50, +50, 10);
    4871
    49         var k5 = 3 + 2.13 * new DoubleVector(x4.Select(d4 => Math.Log(d4)));
     72        var k5 = 3 + 2.13 * x4.PointwiseLog();
    5073
    5174        x1Column.Add(x1);

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/RandomExtensions.cs

    r17400 r17448  
    1 using HeuristicLab.Core;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     4 *
     5 * This file is part of HeuristicLab.
     6 *
     7 * HeuristicLab is free software: you can redistribute it and/or modify
     8 * it under the terms of the GNU General Public License as published by
     9 * the Free Software Foundation, either version 3 of the License, or
     10 * (at your option) any later version.
     11 *
     12 * HeuristicLab is distributed in the hope that it will be useful,
     13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
     14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     15 * GNU General Public License for more details.
     16 *
     17 * You should have received a copy of the GNU General Public License
     18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
     19 */
     20#endregion
     21
     22using HeuristicLab.Core;
    223using HeuristicLab.Problems.DataAnalysis;
     24
     25using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
    326
    427namespace HeuristicLab.Problems.Instances.DataAnalysis {
    … …  
    1235        values[i] = rand.NextDouble(min, max);
    1336      }
    14       return new DoubleVector(values);
     37      return DoubleVector.Build.Dense(values);
    1538    }
    1639  }

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/VectorDataTestOne.cs

    r17419 r17448  
    2727using HeuristicLab.Problems.DataAnalysis;
    2828using HeuristicLab.Random;
     29using MathNet.Numerics.Statistics;
     30
     31using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
    2932
    3033namespace HeuristicLab.Problems.Instances.DataAnalysis {

  • branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/TableFileParser.cs

    r17414 r17448  
    3030using HeuristicLab.Problems.DataAnalysis;
    3131
     32using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;
     33
    3234namespace HeuristicLab.Problems.Instances.DataAnalysis {
    3335  public class TableFileParser : Progress<long> { // reports the number of bytes read
    … …  
    272274            var vectorList = new List<DoubleVector>(stringList.Count);
    273275            for (int j = 0; j < doubles.Length; j++) {
    274               vectorList.Add(new DoubleVector(doubles[j]));
     276              vectorList.Add(DoubleVector.Build.Dense(doubles[j]));
    275277            }
    276278
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