机器学习_logistic回归MATLAB练习

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1、ProgrammingExercise2:LogisticRegressionMachineLearningIntroductionInthisexercise,youwillimplementlogisticregressionandapplyittotwodierentdatasets.Beforestartingontheprogrammingexercise,westronglyrecommendwatchingthevideolecturesandcompletingthereviewquestion

2、sfortheassociatedtopics.Togetstartedwiththeexercise,youwillneedtodownloadthestartercodeandunzipitscontentstothedirectorywhereyouwishtocompletetheexercise.Ifneeded,usethecdcommandinOctave/MATLABtochangetothisdirectorybeforestartingthisexercise.Youcanalsondins

3、tructionsforinstallingOctave/MATLABintheEn-vironmentSetupInstructions"ofthecoursewebsite.Filesincludedinthisexerciseex2.m-Octave/MATLABscriptthatstepsyouthroughtheexerciseex2reg.m-Octave/MATLABscriptforthelaterpartsoftheexerciseex2data1.txt-Trainingsetforthe

4、rsthalfoftheexerciseex2data2.txt-Trainingsetforthesecondhalfoftheexercisesubmit.m-SubmissionscriptthatsendsyoursolutionstoourserversmapFeature.m-FunctiontogeneratepolynomialfeaturesplotDecisionBoundary.m-Functiontoplotclassier'sdecisionbound-ary[?]plotData.

5、m-Functiontoplot2Dclassicationdata[?]sigmoid.m-SigmoidFunction[?]costFunction.m-LogisticRegressionCostFunction[?]predict.m-LogisticRegressionPredictionFunction[?]costFunctionReg.m-RegularizedLogisticRegressionCost?indicateslesyouwillneedtocomplete1Throughou

6、ttheexercise,youwillbeusingthescriptsex2.mandex2reg.m.Thesescriptssetupthedatasetfortheproblemsandmakecallstofunctionsthatyouwillwrite.Youdonotneedtomodifyeitherofthem.Youareonlyrequiredtomodifyfunctionsinotherles,byfollowingtheinstructionsinthisassignment.W

7、heretogethelpTheexercisesinthiscourseuseOctave1orMATLAB,ahigh-levelprogram-minglanguagewell-suitedfornumericalcomputations.IfyoudonothaveOctaveorMATLABinstalled,pleaserefertotheinstallationinstructionsintheEnvironmentSetupInstructions"ofthecoursewebsite.Atth

8、eOctave/MATLABcommandline,typinghelpfollowedbyafunc-tionnamedisplaysdocumentationforabuilt-infunction.Forexample,helpplotwillbringuphelpinformationforplotting.FurtherdocumentationforOctav