/// <summary> /// Computes the score for the given current results. /// </summary> /// <param name="baselineMatrices">The baseline matrices.</param> /// <param name="currentResults">The current results.</param> /// <returns></returns> public static double ComputeScore(TLSimilarityMatricesCollection baselineMatrices, TLSimilarityMatricesCollection currentResultsMatrices, TLDatasetsList datasets, MetricComputationComponentConfig config) { double score = 0.0; double sum = 0; double counts = 0; IMetricComputation metricComputation = GetMetricComputation(config); foreach (TLDataset dataset in datasets) { TLSimilarityMatrix baseline = baselineMatrices[dataset.Name]; TLSimilarityMatrix current = currentResultsMatrices[dataset.Name]; //score is computed based on delta between two techniques from metric computation SortedDictionary<string, double> baselineValues = metricComputation.Calculate(baseline, dataset); SortedDictionary<string, double> currentValues = metricComputation.Calculate(current, dataset); var deltas = ScoreComputationHelper.Delta(baselineValues, currentValues); //now compute average of computed deltas, and that's the score foreach (double delta in deltas.Values) { sum += delta; } counts += deltas.Count; } score = sum / counts; return score; }
/// <summary> /// Computes the score for the given current results. /// </summary> /// <param name="baselineMatrices">The baseline matrices.</param> /// <param name="currentResults">The current results.</param> /// <returns></returns> public static double ComputeScore(TLSimilarityMatricesCollection baselineMatrices, TLSimilarityMatricesCollection currentResultsMatrices, TLDatasetsList datasets, MetricComputationComponentConfig config) { double score = 0.0; double sum = 0; double counts = 0; IMetricComputation metricComputation = GetMetricComputation(config); foreach (TLDataset dataset in datasets) { TLSimilarityMatrix baseline = baselineMatrices[dataset.Name]; TLSimilarityMatrix current = currentResultsMatrices[dataset.Name]; //score is computed based on delta between two techniques from metric computation SortedDictionary <string, double> baselineValues = metricComputation.Calculate(baseline, dataset); SortedDictionary <string, double> currentValues = metricComputation.Calculate(current, dataset); var deltas = ScoreComputationHelper.Delta(baselineValues, currentValues); //now compute average of computed deltas, and that's the score foreach (double delta in deltas.Values) { sum += delta; } counts += deltas.Count; } score = sum / counts; return(score); }
public override void Compute() { TLSimilarityMatricesCollection listOfMatrices = (TLSimilarityMatricesCollection)Workspace.Load("listOfMatrices"); if (listOfMatrices == null) { throw new ComponentException("The 'listOfMatrices' is null or has not been found in the Workspace."); } TLSimilarityMatrix matrix = (TLSimilarityMatrix)Workspace.Load("matrix"); if (matrix == null) { throw new ComponentException("The 'matrix' input is null or has not been found in the Workspace."); } string name = (string)Workspace.Load("name"); if (name == null) { throw new ComponentException("The 'name' for matrix is null or has not been found in the Workspace. Please, provide the name for the matrix."); } matrix.Name = name; listOfMatrices.Add(matrix); Workspace.Store("listOfMatrices", listOfMatrices); }
/// <summary> /// Adapts the specified collection of matrices into group of tracing results to comply with engine api /// </summary> /// <param name="matrices">The matrices.</param> /// <returns></returns> public static GroupOfTracingResults <SingleTracingResults> Adapt(TLSimilarityMatricesCollection matrices, string techniqueName) { GroupOfTracingResults <SingleTracingResults> results = new GroupOfTracingResults <SingleTracingResults>(techniqueName); if (matrices != null) { foreach (TLSimilarityMatrix matrix in matrices) { results.Add(new SingleTracingResults(matrix)); } } return(results); }
public override void Compute() { // Loading artifacts & datasets from workspace TLArtifactsCollection sourceArtifacts = (TLArtifactsCollection)Workspace.Load("sourceArtifacts"); TLArtifactsCollection targetArtifacts = (TLArtifactsCollection)Workspace.Load("targetArtifacts"); TLSimilarityMatrix answerMatrix = (TLSimilarityMatrix)Workspace.Load("answerMatrix"); TLSimilarityMatrix similarityMatrix = (TLSimilarityMatrix)Workspace.Load("similarityMatrix"); // Checking for null arguments if (sourceArtifacts == null) { throw new ComponentException("The loaded source artifacts cannot be null!"); } if (targetArtifacts == null) { throw new ComponentException("The loaded target artifacts cannot be null!"); } if (answerMatrix == null) { throw new ComponentException("The loaded answer matrix cannot be null!"); } if (similarityMatrix == null) { throw new ComponentException("The loaded similarity matrix cannot be null!"); } // Results calculation TLDatasetsList datasets = new TLDatasetsList(); var dataset = new TLDataset("Experiment results"); dataset.AnswerSet = answerMatrix; dataset.SourceArtifacts = sourceArtifacts; dataset.TargetArtifacts = targetArtifacts; datasets.Add(dataset); TLSimilarityMatricesCollection similarityMatrices = new TLSimilarityMatricesCollection(); similarityMatrix.Name = "Experiment results"; similarityMatrices.Add(similarityMatrix); MetricComputationEngine engine = new MetricComputationEngine(datasets, Logger, m_config); //wrap result similarity matrix into TracingResult var tracingResults = GroupOfTracingResults <SingleTracingResults> .Adapt(similarityMatrices, "Experiment results"); engine.AddTracingResults(tracingResults); var results = engine.ComputeResults(); // Store the results in the workspace Workspace.Store("results", results); }
public override void Compute() { // Loading artifacts & datasets from workspace TLArtifactsCollection sourceArtifacts = (TLArtifactsCollection)Workspace.Load("sourceArtifacts"); TLArtifactsCollection targetArtifacts = (TLArtifactsCollection)Workspace.Load("targetArtifacts"); TLSimilarityMatrix answerMatrix = (TLSimilarityMatrix)Workspace.Load("answerMatrix"); TLSimilarityMatrix similarityMatrix = (TLSimilarityMatrix)Workspace.Load("similarityMatrix"); // Checking for null arguments if (sourceArtifacts == null) { throw new ComponentException("The loaded source artifacts cannot be null!"); } if (targetArtifacts == null) { throw new ComponentException("The loaded target artifacts cannot be null!"); } if (answerMatrix == null) { throw new ComponentException("The loaded answer matrix cannot be null!"); } if (similarityMatrix == null) { throw new ComponentException("The loaded similarity matrix cannot be null!"); } // Results calculation TLDatasetsList datasets = new TLDatasetsList(); var dataset = new TLDataset("Experiment results"); dataset.AnswerSet = answerMatrix; dataset.SourceArtifacts = sourceArtifacts; dataset.TargetArtifacts = targetArtifacts; datasets.Add(dataset); TLSimilarityMatricesCollection similarityMatrices = new TLSimilarityMatricesCollection(); similarityMatrix.Name = "Experiment results"; similarityMatrices.Add(similarityMatrix); MetricComputationEngine engine = new MetricComputationEngine(datasets, Logger, m_config); //wrap result similarity matrix into TracingResult var tracingResults = GroupOfTracingResults<SingleTracingResults>.Adapt(similarityMatrices, "Experiment results"); engine.AddTracingResults(tracingResults); var results = engine.ComputeResults(); // Store the results in the workspace Workspace.Store("results", results); }
public override void Compute() { //load dataset from workspace TLDatasetsList datasets = (TLDatasetsList)Workspace.Load("datasets"); TLSimilarityMatricesCollection resultSimilarityMatrices = (TLSimilarityMatricesCollection)Workspace.Load("resultSimilarityMatrices"); //wrap result similarity matrix into TracingResult var tracingResults = Adapt(resultSimilarityMatrices, "Current technique"); MetricComputationEngine engine = new MetricComputationEngine(datasets, Logger, m_config); engine.AddTracingResults(tracingResults); TLExperimentsResultsCollection allExperimentResults = engine.ComputeResults(); //set base data from which all metrics were computed from allExperimentResults["Current technique"].BaseData = resultSimilarityMatrices; //check if baseline results are in the workspace var baseline = (TLExperimentResults)Workspace.Load("BASELINE"); if (baseline != null) { //if so, add them to collection of experiment results, so that it can be viewed by GUI component allExperimentResults.Add(baseline); TLSimilarityMatricesCollection baselineMatrices = baseline.BaseData as TLSimilarityMatricesCollection; //compute the score allExperimentResults["Current technique"].Score = ScoreComputation.ComputeScore(baselineMatrices, resultSimilarityMatrices, datasets, m_config); } else { allExperimentResults["Current technique"].Score = 0.0; } Workspace.Store("comparedResults", allExperimentResults); Workspace.Store("currentResults", allExperimentResults["Current technique"]); }
/// <summary> /// Adapts the specified collection of matrices into group of tracing results to comply with engine api /// </summary> /// <param name="matrices">The matrices.</param> /// <returns></returns> private GroupOfTracingResults<SingleTracingResults> Adapt(TLSimilarityMatricesCollection matrices, string techniqueName) { GroupOfTracingResults<SingleTracingResults> results = new GroupOfTracingResults<SingleTracingResults>(techniqueName); if (matrices != null) { foreach (TLSimilarityMatrix matrix in matrices) { results.Add(new SingleTracingResults(matrix)); } } return results; }