Changeset 16388 for branches/2892_LR-prediction-intervals/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblemData.cs
- Timestamp:
- 12/15/18 12:36:08 (5 years ago)
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- branches/2892_LR-prediction-intervals
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- 3 edited
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branches/2892_LR-prediction-intervals
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old new 1 *.docstates 2 *.psess 3 *.resharper 4 *.suo 5 *.user 6 *.vsp 7 Doxygen 8 FxCopResults.txt 9 Google.ProtocolBuffers-0.9.1.dll 10 Google.ProtocolBuffers-2.4.1.473.dll 11 HeuristicLab 3.3.5.1.ReSharper.user 12 HeuristicLab 3.3.6.0.ReSharper.user 13 HeuristicLab.4.5.resharper.user 14 HeuristicLab.ExtLibs.6.0.ReSharper.user 15 HeuristicLab.Scripting.Development 16 HeuristicLab.resharper.user 17 ProtoGen.exe 1 18 TestResults 19 _ReSharper.HeuristicLab 20 _ReSharper.HeuristicLab 3.3 21 _ReSharper.HeuristicLab 3.3 Tests 22 _ReSharper.HeuristicLab.ExtLibs 23 bin 24 protoc.exe 25 obj 26 .vs
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branches/2892_LR-prediction-intervals/HeuristicLab.Problems.DataAnalysis
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branches/2892_LR-prediction-intervals/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblemData.cs
r15583 r16388 467 467 } 468 468 #endregion 469 470 protected override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {471 if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");472 IClassificationProblemData classificationProblemData = problemData as IClassificationProblemData;473 if (classificationProblemData == null)474 throw new ArgumentException("The problem data is no classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");475 476 var returnValue = base.IsProblemDataCompatible(classificationProblemData, out errorMessage);477 //check targetVariable478 if (classificationProblemData.InputVariables.All(var => var.Value != TargetVariable)) {479 errorMessage = string.Format("The target variable {0} is not present in the new problem data.", TargetVariable)480 + Environment.NewLine + errorMessage;481 return false;482 }483 484 var newClassValues = classificationProblemData.Dataset.GetDoubleValues(TargetVariable).Distinct().OrderBy(x => x);485 if (!newClassValues.SequenceEqual(ClassValues)) {486 errorMessage = errorMessage + string.Format("The class values differ in the provided classification problem data.");487 returnValue = false;488 }489 490 var newPositivieClassName = classificationProblemData.PositiveClass;491 if (newPositivieClassName != PositiveClass) {492 errorMessage = errorMessage + string.Format("The positive class differs in the provided classification problem data.");493 returnValue = false;494 }495 496 return returnValue;497 }498 499 public override void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {500 if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");501 ClassificationProblemData classificationProblemData = problemData as ClassificationProblemData;502 if (classificationProblemData == null)503 throw new ArgumentException("The problem data is not a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");504 505 base.AdjustProblemDataProperties(problemData);506 TargetVariable = classificationProblemData.TargetVariable;507 for (int i = 0; i < classificationProblemData.ClassNames.Count(); i++)508 ClassNamesParameter.Value[i, 0] = classificationProblemData.ClassNames.ElementAt(i);509 510 PositiveClass = classificationProblemData.PositiveClass;511 512 for (int i = 0; i < Classes; i++) {513 for (int j = 0; j < Classes; j++) {514 ClassificationPenaltiesParameter.Value[i, j] = classificationProblemData.GetClassificationPenalty(ClassValuesCache[i], ClassValuesCache[j]);515 }516 }517 }518 469 } 519 470 }
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