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HeuristicLab.Problems.DataAnalysis.Symbolic.Regression

Timestamp:

03/06/11 12:55:36 (14 years ago)

Author:

gkronber

Message:

#1418 fixed compilation errors after adding implementations for symbolic data analysis solutions and validation analyzers.

Location:

Files:

r5557	r5613
21	21
22	22
23		using HeuristicLab.Problems.DataAnalysis.Symbolic~~.Interfaces~~;
	23	using HeuristicLab.Problems.DataAnalysis.Symbolic;
24	24	namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
25	25	public interface ISymbolicRegressionSolution : ISymbolicDataAnalysisSolution {

r5601	r5613
58	58	return new double[2] { mse, solution.Length };
59	59	}
	60
	61	public override double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
	62	return Calculate(SymbolicDataAnalysisTreeInterpreter, tree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, problemData, rows);
	63	}
60	64	}
61	65	}

r5601	r5613
57	57	return new double[2] { r2, solution.Length };
58	58	}
	59
	60	public override double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
	61	return Calculate(SymbolicDataAnalysisTreeInterpreter, tree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, problemData, rows);
	62	}
59	63	}
60	64	}

r5607	r5613
58	58	}
59	59
60		public override double Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
	60	public override double Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
61	61	return Calculate(SymbolicDataAnalysisTreeInterpreter, tree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, problemData, rows);
62	62	}

r5601	r5613
46	46	public override IOperation Apply() {
47	47	IEnumerable<int> rows = GenerateRowsToEvaluate();
48		double quality = Calculate(SymbolicDataAnalysisTreeInterpreter~~Parameter.ActualValue, SymbolicExpressionTreeParameter.ActualValu~~e, LowerEstimationLimit.Value, UpperEstimationLimit.Value, ProblemData, rows);
49		Quality~~Parameter.ActualValue~~ = new DoubleValue(quality);
	48	double quality = Calculate(SymbolicDataAnalysisTreeInterpreter, SymbolicExpressionTree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, ProblemData, rows);
	49	Quality = new DoubleValue(quality);
50	50	return base.Apply();
51	51	}
…	…
56	56	return OnlinePearsonsRSquaredEvaluator.Calculate(originalValues, estimatedValues);
57	57	}
	58
	59	public override double Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
	60	return Calculate(SymbolicDataAnalysisTreeInterpreter, tree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, problemData, rows);
	61	}
58	62	}
59	63	}

r5607	r5613
37	37	[Item("SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for single objective symbolic regression problems.")]
38	38	[StorableClass]
39		public sealed class SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionEvaluator, IRegressionProblemData> {
	39	public sealed class SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
40	40	[StorableConstructor]
41	41	private SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }

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