Changeset 8585 for branches/HeuristicLab.Mono/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/CSV/RegressionCSVInstanceProvider.cs
- Timestamp:
- 09/06/12 09:52:52 (12 years ago)
- Location:
- branches/HeuristicLab.Mono
- Files:
-
- 2 edited
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branches/HeuristicLab.Mono
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branches/HeuristicLab.Mono/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/CSV/RegressionCSVInstanceProvider.cs
r8211 r8585 22 22 using System; 23 23 using System.Collections.Generic; 24 using System.Globalization; 24 25 using System.IO; 25 26 using System.Linq; 26 27 using System.Text; 28 using HeuristicLab.Common; 27 29 using HeuristicLab.Problems.DataAnalysis; 28 30 … … 59 61 60 62 Dataset dataset = new Dataset(csvFileParser.VariableNames, csvFileParser.Values); 61 string targetVar = csvFileParser.VariableNames.Where(x => dataset.DoubleVariables.Contains(x)).Last();63 string targetVar = dataset.DoubleVariables.Last(); 62 64 63 IEnumerable<string> allowedInputVars = dataset.DoubleVariables.Where(x => !x.Equals(targetVar)); 65 // turn of input variables that are constant in the training partition 66 var allowedInputVars = new List<string>(); 67 var trainingIndizes = Enumerable.Range(0, (csvFileParser.Rows * 2) / 3); 68 foreach (var variableName in dataset.DoubleVariables) { 69 if (dataset.GetDoubleValues(variableName, trainingIndizes).Range() > 0 && 70 variableName != targetVar) 71 allowedInputVars.Add(variableName); 72 } 64 73 65 IRegressionProblemData reg Data = new RegressionProblemData(dataset, allowedInputVars, targetVar);74 IRegressionProblemData regressionData = new RegressionProblemData(dataset, allowedInputVars, targetVar); 66 75 67 int trainingPartEnd = csvFileParser.Rows * 2 / 3;68 reg Data.TrainingPartition.Start = 0;69 reg Data.TrainingPartition.End = trainingPartEnd;70 reg Data.TestPartition.Start = trainingPartEnd;71 reg Data.TestPartition.End = csvFileParser.Rows;76 var trainingPartEnd = trainingIndizes.Last(); 77 regressionData.TrainingPartition.Start = trainingIndizes.First(); 78 regressionData.TrainingPartition.End = trainingPartEnd; 79 regressionData.TestPartition.Start = trainingPartEnd; 80 regressionData.TestPartition.End = csvFileParser.Rows; 72 81 73 int pos = path.LastIndexOf('\\'); 74 if (pos < 0) 75 regData.Name = path; 76 else { 77 pos++; 78 regData.Name = path.Substring(pos, path.Length - pos); 79 } 80 return regData; 82 regressionData.Name = Path.GetFileName(path); 83 84 return regressionData; 81 85 } 82 86 … … 85 89 } 86 90 public override void ExportData(IRegressionProblemData instance, string path) { 87 StringBuilder strBuilder = new StringBuilder();91 var strBuilder = new StringBuilder(); 88 92 89 93 foreach (var variable in instance.InputVariables) { 90 strBuilder.Append(variable + ";");94 strBuilder.Append(variable + CultureInfo.CurrentCulture.TextInfo.ListSeparator); 91 95 } 92 strBuilder.Remove(strBuilder.Length - 1, 1);96 strBuilder.Remove(strBuilder.Length - CultureInfo.CurrentCulture.TextInfo.ListSeparator.Length, CultureInfo.CurrentCulture.TextInfo.ListSeparator.Length); 93 97 strBuilder.AppendLine(); 94 98 95 Datasetdataset = instance.Dataset;99 var dataset = instance.Dataset; 96 100 97 101 for (int i = 0; i < dataset.Rows; i++) { 98 102 for (int j = 0; j < dataset.Columns; j++) { 99 strBuilder.Append(dataset.GetValue(i, j) + ";"); 103 if (j > 0) strBuilder.Append(CultureInfo.CurrentCulture.TextInfo.ListSeparator); 104 strBuilder.Append(dataset.GetValue(i, j)); 100 105 } 101 strBuilder.Remove(strBuilder.Length - 1, 1);102 106 strBuilder.AppendLine(); 103 107 } 104 108 105 using ( StreamWriter writer = new StreamWriter(path)) {109 using (var writer = new StreamWriter(path)) { 106 110 writer.Write(strBuilder); 107 111 }
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