public static bool IsDatasetCompatible(IDataAnalysisModel model, IDataset dataset, out string errorMessage)
{
if (model == null)
{
throw new ArgumentNullException("model", "The provided model is null.");
}
if (dataset == null)
{
throw new ArgumentNullException("dataset", "The provided dataset is null.");
}
errorMessage = string.Empty;
foreach (var variable in model.VariablesUsedForPrediction)
{
if (!dataset.ContainsVariable(variable))
{
if (string.IsNullOrEmpty(errorMessage))
{
errorMessage = "The following variables must be present in the dataset for model evaluation:";
}
errorMessage += System.Environment.NewLine + " " + variable;
}
}
return(string.IsNullOrEmpty(errorMessage));
}
protected override double Evaluate(IDataAnalysisModel model) {
var evaluator = EvaluatorParameter.ActualValue;
var classificationModel = (ISymbolicClassificationModel)model;
var classificationProblemData = (IClassificationProblemData)ProblemDataParameter.ActualValue;
var rows = Enumerable.Range(FitnessCalculationPartitionParameter.ActualValue.Start, FitnessCalculationPartitionParameter.ActualValue.Size);
return evaluator.Evaluate(this.ExecutionContext, classificationModel.SymbolicExpressionTree, classificationProblemData, rows);
}
protected override double Evaluate(IDataAnalysisModel model)
{
var evaluator = EvaluatorParameter.ActualValue;
var classificationModel = (ISymbolicClassificationModel)model;
var classificationProblemData = (IClassificationProblemData)ProblemDataParameter.ActualValue;
var rows = Enumerable.Range(FitnessCalculationPartitionParameter.ActualValue.Start, FitnessCalculationPartitionParameter.ActualValue.Size);
return(evaluator.Evaluate(this.ExecutionContext, classificationModel.SymbolicExpressionTree, classificationProblemData, rows));
}
public DataAnalysisSolution(IDataAnalysisModel model, IDataAnalysisProblemData problemData)
: base() {
name = ItemName;
description = ItemDescription;
Add(new Result(ModelResultName, "The data analysis model.", model));
Add(new Result(ProblemDataResultName, "The data analysis problem data.", problemData));
problemData.Changed += new EventHandler(ProblemData_Changed);
}
public DataAnalysisSolution(IDataAnalysisModel model, IDataAnalysisProblemData problemData)
: base()
{
name = ItemName;
description = ItemDescription;
Add(new Result(ModelResultName, "The data analysis model.", model));
Add(new Result(ProblemDataResultName, "The data analysis problem data.", problemData));
problemData.Changed += new EventHandler(ProblemData_Changed);
}
protected abstract double Evaluate(IDataAnalysisModel model);
protected abstract double Evaluate(IDataAnalysisModel model);
