R软件代码转换为matlab-SimKern:Python代码库，用于生成和探索用于机器学习的基于相似性的内核
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2021-05-21
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R软件代码转换为matlab-SimKern:Python代码库，用于生成和探索用于机器学习的基于相似性的内核 （152个子文件） 
Sim1SimilarityMatrixfinalHIGHERQUALITY.csv 14.19MB Sim1SimilarityMatrixfinal.csv 14.19MB Sim1SimilarityMatrixfinal.csv 13.35MB Sim1worseSimMatrix.csv 4.49MB Sim1betterSimMatrix.csv 4.49MB Sim1nominalSimMatrix.csv 4.49MB Sim1biasedSimMatrix.csv 4.49MB Sim1SimilarityMatrixfinal.csv 3.54MB Sim1SimilarityMatrixfinal.csv 2.56MB Sim0GenomesMatrix.csv 604KB Sim0GenomesMatrix.csv 314KB Sim0GenomesMatrix.csv 313KB Sim0GenomesMatrix.csv 99KB BoolNetSimilarityMatrixSample.csv 71KB Sim0GenomesMatrix.csv 63KB BoolNetGenomesMatrixSample.csv 5KB Sim0Output.csv 4KB Sim0Output.csv 4KB Sim0Output.csv 4KB Sim0Output.csv 2KB Sim0Output.csv 1001B BoolNetOutputSample.csv 200B .DS_Store 6KB .gitignore 1KB apopOctaveTest.m 29KB v3.m 17KB v3.m.t.m 17KB v2.m 16KB runExperiment.m 14KB genericBoxplot.m 10KB floweringNoiseCombinationPlot.m 10KB v2a.m 9KB f4.m 8KB f4.m 8KB v1.m 7KB floweringNoiseBoxPlot.m 6KB script_scatter_figure.m 6KB script_plot_all_line_and_box_plots.m 6KB script_plot_flowering_noise_experiment_all_plots.m 6KB floweringNoiseLinePlot.m 6KB twoKernelLinePlot.m 4KB ode_equations.m 4KB radiationLinePlot.m 4KB genericLinePlot.m 4KB main_flowering_noise_biased.m 3KB main_flowering.m 3KB main_flowering_noise_nominal.m 3KB main_flowering_noise_better.m 3KB main_flowering_noise_worse.m 3KB v0.m 3KB main_radiation_badKernel.m 3KB main_radiation.m 3KB main_network.m 3KB main_boolean.m 3KB boxplottingSimKernelResults.m 3KB splitSamples.m 3KB variableDefinition3.m 2KB variableDefinition4.m 2KB script_plot_radiation_network_line_subplot.m 2KB variableDefinition2.m 2KB predictTestData.m 2KB splitData.m 2KB script_testingHyperparameterLimits.m 2KB variableDefinition2a.m 2KB variableDefinition1.m 2KB tuneRbfSvmRegressionHyperparameters.m 2KB tuneRfClassificationHyperparameters.m 2KB tuneCkRfClassificationHyperparameters.m 2KB tuneCkSvmRegressionHyperparameters.m 2KB tuneRfRegressionHyperparameters.m 1KB tuneCkRfRegressionHyperparameters.m 1KB tuneRbfSvmClassificationHyperparameters.m 1KB tuneLinSvmRegressionHyperparameters.m 1KB tuneCkSvmClassificationHyperparameters.m 1KB script_plot_figure2.m 1KB applySubsampling.m 1KB tuneLinSvmClassificationHyperparameters.m 1KB createLegend.m 1KB dummycodeCategoricalFeatures.m 1KB generateWeightString.m 985B variableDefinition.m 946B script_createClassOverview.m 891B findBestNaivePerformance.m 788B standardizeFeatures.m 671B getAlgPerformanceFromStruct.m 655B findBestSkPerformance.m 563B checkHyperparameterLimits.m 331B computeRSquared.m 167B computeAccuracy.m 164B computeMse.m 124B linearProgrammingModelVariables.mat 15KB README.md 20KB V4.m~ 10KB WNT_ERK_crosstalk.octave 16KB WNT_ERK_crosstalk_float_output.octave 16KB linearProgrammingModelWithVectorResponse.octave 2KB linearProgrammingModel.octave 2KB MachineLearningDataProcessingService.py 24KB FileProcessingServiceIT.py 13KB __main__.py 13KB共 152 条
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