Index

A

AberdeenProject (module) AberdeenProject.core (module) AberdeenProject.core.dataframeCreator (module) AberdeenProject.core.dataPipelines (module) AberdeenProject.core.modelFitting (module) AberdeenProject.main (module) AberdeenProject.utilities (module) AberdeenProject.utilities.loadConfigFile (module)

AberdeenProject.utilities.loadPickledData (module) AberdeenProject.utilities.pklToCsv (module) AberdeenProject.utilities.statistics (module) addOnehotEncoderPipeline() (AberdeenProject.core.dataPipelines.PreprocessingPipeline method) addPipeline() (AberdeenProject.core.dataPipelines.FullPipeline method) addSimpleImputerPipeline() (AberdeenProject.core.dataPipelines.MissingValuesPipeline method) allowed_strategies (AberdeenProject.core.dataPipelines.MissingValuesPipeline attribute) (AberdeenProject.core.dataPipelines.PreprocessingPipeline attribute)

B

bestModel() (AberdeenProject.core.modelFitting.Model method) buildPipeline() (AberdeenProject.core.dataPipelines.MissingValuesPipeline method) (AberdeenProject.core.dataPipelines.PreprocessingPipeline method)

buildRules() (AberdeenProject.core.modelFitting.Model method)

C

columns (AberdeenProject.core.dataPipelines.FullPipeline attribute) convertPklToCsv() (AberdeenProject.core.dataframeCreator.DataframeCreator method)

createDataframe() (AberdeenProject.core.dataframeCreator.DataframeCreator method) crossValidation() (AberdeenProject.core.modelFitting.Model method) crossValidationScores() (AberdeenProject.core.modelFitting.Model method)

D

DataframeCreator (class in AberdeenProject.core.dataframeCreator)

decisionTreeToGraphiz() (AberdeenProject.core.modelFitting.Model method) decisionTreeToPng() (AberdeenProject.core.modelFitting.Model method)

F

fit() (AberdeenProject.core.modelFitting.Model method) fit_transform() (AberdeenProject.core.dataPipelines.FullPipeline method) (AberdeenProject.core.dataPipelines.MissingValuesPipeline method) (AberdeenProject.core.dataPipelines.PreprocessingPipeline method)

FullPipeline (class in AberdeenProject.core.dataPipelines)

G

getColumnsStatistics() (AberdeenProject.utilities.statistics.Statistics method) getKeptColumns() (AberdeenProject.utilities.statistics.Statistics method) getNumKeptColumns() (AberdeenProject.utilities.statistics.Statistics method)

getShape() (AberdeenProject.utilities.statistics.Statistics method) getUniqueValues() (AberdeenProject.utilities.statistics.Statistics method) graphvizToPng() (AberdeenProject.core.modelFitting.Model method)

I

implemented_algorithms (AberdeenProject.core.modelFitting.Model attribute)

initialize() (AberdeenProject.core.dataPipelines.FullPipeline class method)

K

keepBestFeatures() (AberdeenProject.core.modelFitting.Model method)

L

loadConfigFile() (in module AberdeenProject.utilities.loadConfigFile)

loadPickledData() (in module AberdeenProject.utilities.loadPickledData)

M

main() (in module AberdeenProject.main)

MissingValuesPipeline (class in AberdeenProject.core.dataPipelines) Model (class in AberdeenProject.core.modelFitting)

P

pickleDataframe() (AberdeenProject.core.dataframeCreator.DataframeCreator method) pipelines (AberdeenProject.core.dataPipelines.FullPipeline attribute) (AberdeenProject.core.dataPipelines.MissingValuesPipeline attribute) (AberdeenProject.core.dataPipelines.PreprocessingPipeline attribute)

pklToCsv() (in module AberdeenProject.utilities.pklToCsv) PreprocessingPipeline (class in AberdeenProject.core.dataPipelines)

R

readCsvFile() (AberdeenProject.core.dataframeCreator.DataframeCreator method)

recoverColumnsNames() (AberdeenProject.core.dataPipelines.FullPipeline class method)

S

Statistics (class in AberdeenProject.utilities.statistics)

T

threshholdFiltering() (AberdeenProject.core.dataframeCreator.DataframeCreator method)

W

writeColumnsAThFiltering() (AberdeenProject.core.dataframeCreator.DataframeCreator method)