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Changeset
16559
for
branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4
Timestamp:
01/25/19 18:27:21 (
6 years
ago)
Author:
jkarder
Message:
#2520
: renamed
Fossil
to
Attic
and set version to 1.0.0-pre01
Location:
branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4
Files:
153 edited
BaselineClassifiers/OneFactorClassificationModel.cs
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BaselineClassifiers/OneFactorClassificationSolution.cs
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BaselineClassifiers/OneR.cs
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BaselineClassifiers/OneRClassificationModel.cs
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BaselineClassifiers/OneRClassificationSolution.cs
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BaselineClassifiers/ZeroR.cs
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CrossValidation.cs
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FixedDataAnalysisAlgorithm.cs
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GBM/GradientBoostingRegressionAlgorithm.cs
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GaussianProcess/CovarianceFunctions/CovarianceConst.cs
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GaussianProcess/CovarianceFunctions/CovarianceLinear.cs
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GaussianProcess/CovarianceFunctions/CovarianceLinearArd.cs
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GaussianProcess/CovarianceFunctions/CovarianceMask.cs
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GaussianProcess/CovarianceFunctions/CovarianceMaternIso.cs
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GaussianProcess/CovarianceFunctions/CovarianceNeuralNetwork.cs
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GaussianProcess/CovarianceFunctions/CovarianceNoise.cs
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GaussianProcess/CovarianceFunctions/CovariancePeriodic.cs
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GaussianProcess/CovarianceFunctions/CovariancePiecewisePolynomial.cs
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GaussianProcess/CovarianceFunctions/CovariancePolynomial.cs
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GaussianProcess/CovarianceFunctions/CovarianceProduct.cs
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GaussianProcess/CovarianceFunctions/CovarianceRationalQuadraticArd.cs
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GaussianProcess/CovarianceFunctions/CovarianceRationalQuadraticIso.cs
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GaussianProcess/CovarianceFunctions/CovarianceScale.cs
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GaussianProcess/CovarianceFunctions/CovarianceSpectralMixture.cs
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GaussianProcess/CovarianceFunctions/CovarianceSquaredExponentialArd.cs
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GaussianProcess/CovarianceFunctions/CovarianceSquaredExponentialIso.cs
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GaussianProcess/CovarianceFunctions/CovarianceSum.cs
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GaussianProcess/GaussianProcessBase.cs
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GaussianProcess/GaussianProcessClassification.cs
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GaussianProcess/GaussianProcessClassificationModelCreator.cs
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GaussianProcess/GaussianProcessClassificationSolutionCreator.cs
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GaussianProcess/GaussianProcessCovarianceOptimizationProblem.cs
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GaussianProcess/GaussianProcessHyperparameterInitializer.cs
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GaussianProcess/GaussianProcessModel.cs
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GaussianProcess/GaussianProcessModelCreator.cs
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GaussianProcess/GaussianProcessRegression.cs
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GaussianProcess/GaussianProcessRegressionModelCreator.cs
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GaussianProcess/GaussianProcessRegressionSolution.cs
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GaussianProcess/GaussianProcessRegressionSolutionCreator.cs
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GaussianProcess/ICovarianceFunction.cs
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GaussianProcess/IMeanFunction.cs
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GaussianProcess/MeanFunctions/MeanConst.cs
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GaussianProcess/MeanFunctions/MeanLinear.cs
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GaussianProcess/MeanFunctions/MeanModel.cs
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GaussianProcess/MeanFunctions/MeanProduct.cs
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GaussianProcess/MeanFunctions/MeanSum.cs
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GaussianProcess/MeanFunctions/MeanZero.cs
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GradientBoostedTrees/GradientBoostedTreesAlgorithm.cs
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GradientBoostedTrees/GradientBoostedTreesModel.cs
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GradientBoostedTrees/GradientBoostedTreesModelSurrogate.cs
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GradientBoostedTrees/GradientBoostedTreesSolution.cs
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GradientBoostedTrees/IGradientBoostedTreesModel.cs
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GradientBoostedTrees/LossFunctions/AbsoluteErrorLoss.cs
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GradientBoostedTrees/LossFunctions/ILossFunction.cs
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GradientBoostedTrees/LossFunctions/LogisticRegressionLoss.cs
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GradientBoostedTrees/LossFunctions/QuantileRegressionLoss.cs
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GradientBoostedTrees/LossFunctions/RelativeErrorLoss.cs
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GradientBoostedTrees/LossFunctions/SquaredErrorLoss.cs
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GradientBoostedTrees/RegressionTreeModel.cs
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HeuristicLab.Algorithms.DataAnalysis-3.4.csproj
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Interfaces/IDataAnalysisAlgorithm.cs
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Interfaces/IGaussianProcessClassificationModelCreator.cs
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Interfaces/IGaussianProcessModel.cs
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Interfaces/IGaussianProcessModelCreator.cs
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Interfaces/IGaussianProcessRegressionModelCreator.cs
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Interfaces/IGaussianProcessSolution.cs
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Interfaces/INcaClassificationSolution.cs
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Interfaces/INcaModel.cs
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Interfaces/INearestNeighbourClassificationSolution.cs
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Interfaces/INearestNeighbourModel.cs
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Interfaces/INearestNeighbourRegressionSolution.cs
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Interfaces/INeuralNetworkClassificationSolution.cs
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Interfaces/INeuralNetworkEnsembleClassificationSolution.cs
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Interfaces/INeuralNetworkEnsembleModel.cs
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Interfaces/INeuralNetworkEnsembleRegressionSolution.cs
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Interfaces/INeuralNetworkModel.cs
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Interfaces/INeuralNetworkRegressionSolution.cs
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Interfaces/IRandomForestClassificationSolution.cs
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Interfaces/IRandomForestModel.cs
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Interfaces/IRandomForestRegressionSolution.cs
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Interfaces/ISupportVectorMachineModel.cs
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Interfaces/ISupportVectorMachineSolution.cs
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KernelRidgeRegression/KernelFunctions/CicularKernel.cs
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KernelRidgeRegression/KernelFunctions/GaussianKernel.cs
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KernelRidgeRegression/KernelFunctions/IKernel.cs
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KernelRidgeRegression/KernelFunctions/InverseMultiquadraticKernel.cs
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KernelRidgeRegression/KernelFunctions/KernelBase.cs
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KernelRidgeRegression/KernelFunctions/MultiquadraticKernel.cs
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KernelRidgeRegression/KernelFunctions/PolysplineKernel.cs
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KernelRidgeRegression/KernelFunctions/ThinPlatePolysplineKernel.cs
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KernelRidgeRegression/KernelRidgeRegression.cs
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KernelRidgeRegression/KernelRidgeRegressionModel.cs
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Linear/LinearDiscriminantAnalysis.cs
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Linear/LinearRegression.cs
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Linear/LinearRegressionModel.cs
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Linear/MultinomialLogitClassification.cs
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Linear/MultinomialLogitClassificationSolution.cs
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Linear/MultinomialLogitModel.cs
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Linear/Scaling.cs
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Nca/Initialization/INcaInitializer.cs
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Nca/Initialization/LdaInitializer.cs
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Nca/Initialization/NcaInitializer.cs
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Nca/Initialization/PcaInitializer.cs
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Nca/Initialization/RandomInitializer.cs
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Nca/ModelCreation/INcaModelCreator.cs
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Nca/ModelCreation/NcaModelCreator.cs
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Nca/NcaAlgorithm.cs
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Nca/NcaClassificationSolution.cs
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Nca/NcaGradientCalculator.cs
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Nca/NcaModel.cs
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Nca/SolutionCreation/INcaSolutionCreator.cs
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Nca/SolutionCreation/NcaSolutionCreator.cs
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NearestNeighbour/NearestNeighbourClassification.cs
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NearestNeighbour/NearestNeighbourClassificationSolution.cs
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NearestNeighbour/NearestNeighbourModel.cs
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NearestNeighbour/NearestNeighbourRegression.cs
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NearestNeighbour/NearestNeighbourRegressionSolution.cs
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NeuralNetwork/NeuralNetworkClassification.cs
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NeuralNetwork/NeuralNetworkClassificationSolution.cs
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NeuralNetwork/NeuralNetworkEnsembleClassification.cs
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NeuralNetwork/NeuralNetworkEnsembleClassificationSolution.cs
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NeuralNetwork/NeuralNetworkEnsembleModel.cs
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NeuralNetwork/NeuralNetworkEnsembleRegression.cs
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NeuralNetwork/NeuralNetworkEnsembleRegressionSolution.cs
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NeuralNetwork/NeuralNetworkModel.cs
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NeuralNetwork/NeuralNetworkRegression.cs
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NeuralNetwork/NeuralNetworkRegressionSolution.cs
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NonlinearRegression/NonlinearRegression.cs
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RandomForest/RandomForestClassification.cs
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RandomForest/RandomForestClassificationSolution.cs
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RandomForest/RandomForestModel.cs
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RandomForest/RandomForestRegression.cs
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RandomForest/RandomForestRegressionSolution.cs
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RandomForest/RandomForestUtil.cs
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SupportVectorMachine/SupportVectorClassification.cs
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SupportVectorMachine/SupportVectorClassificationSolution.cs
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SupportVectorMachine/SupportVectorMachineModel.cs
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SupportVectorMachine/SupportVectorRegression.cs
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SupportVectorMachine/SupportVectorRegressionSolution.cs
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TSNE/Distances/CosineDistance.cs
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TSNE/Distances/DistanceBase.cs
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TSNE/Distances/EuclideanDistance.cs
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TSNE/Distances/IDistance.cs
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TSNE/Distances/IndexedItemDistance.cs
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TSNE/Distances/ManhattanDistance.cs
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TSNE/Distances/WeightedEuclideanDistance.cs
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TSNE/TSNEAlgorithm.cs
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TSNE/TSNEStatic.cs
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TimeSeries/AutoregressiveModeling.cs
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kMeans/KMeansClustering.cs
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kMeans/KMeansClusteringModel.cs
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kMeans/KMeansClusteringSolution.cs
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packages.config
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