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Ignore:
Timestamp:
07/20/21 18:13:55 (3 years ago)
Author:
dpiringe
Message:

#3026

  • merged trunk into branch
Location:
branches/3026_IntegrationIntoSymSpace
Files:
3 edited

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  • branches/3026_IntegrationIntoSymSpace

  • branches/3026_IntegrationIntoSymSpace/HeuristicLab.Tests

  • branches/3026_IntegrationIntoSymSpace/HeuristicLab.Tests/HeuristicLab.Scripting-3.3/Script Sources/GridSearchRFClassificationScriptSource.cs

    r12292 r18027  
    3838    double rmsError, outOfBagRmsError, relClassificationError, outOfBagRelClassificationError;
    3939    bestParameters = RandomForestUtil.GridSearch(problemData, numberOfFolds, shuffleFolds, randomForestParameterRanges, seed, maximumDegreeOfParallelism);
    40     var model = RandomForestModel.CreateClassificationModel(problemData, problemData.TrainingIndices, bestParameters.N, bestParameters.R, bestParameters.M, seed,
    41                                                             out rmsError, out outOfBagRmsError, out relClassificationError, out outOfBagRelClassificationError);
     40    var model = RandomForestClassification.CreateRandomForestClassificationModel(problemData, problemData.TrainingIndices, bestParameters.N, bestParameters.R, bestParameters.M, seed,
     41                                                                                 out rmsError, out relClassificationError, out outOfBagRmsError, out outOfBagRelClassificationError);
    4242    return (RandomForestClassificationSolution)model.CreateClassificationSolution(problemData);
    4343  }
    … …  
    4646    double rmsError, outOfBagRmsError, relClassificationError, outOfBagRelClassificationError;
    4747    bestParameters = RandomForestUtil.GridSearch(problemData, randomForestParameterRanges, seed, maximumDegreeOfParallelism);
    48     var model = RandomForestModel.CreateClassificationModel(problemData, problemData.TrainingIndices, bestParameters.N, bestParameters.R, bestParameters.M, seed,
    49                                                             out rmsError, out outOfBagRmsError, out relClassificationError, out outOfBagRelClassificationError);
     48    var model = RandomForestClassification.CreateRandomForestClassificationModel(problemData, problemData.TrainingIndices, bestParameters.N, bestParameters.R, bestParameters.M, seed,
     49                                                                                 out rmsError, out relClassificationError, out outOfBagRmsError, out outOfBagRelClassificationError);
    5050    return (RandomForestClassificationSolution)model.CreateClassificationSolution(problemData);
    5151  }
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