liquidSVM_系统开发案例-程序员客栈

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AGPL-3.0 License

GeeralIformatio

Supportvectormachies(SVMs)adrelatedkerel-basedlearigalgorithmsareawell-kowclassofmachielearigalgorithms,foro-parametricclassificatioadregressio.liquidSVMisaimplemetatioofSVMswhosekeyfeaturesare:

fullyitegratedhyper-parameterselectio,extremespeedobothsmalladlargedatasets,BidigsforR,Pytho,MATLAB/Octave,Java,adSpark,fullflexibilityforexperts,adiclusioofavarietyofdifferetlearigscearios:multi-classclassificatio,ROC,adNeyma-Pearsolearig,least-squares,quatile,adexpectileregressio.

Forquestiosadcommetsjustcotactusviamail.Thereyoualsocaasktoberegisterdtoourmailiglist.

liquidSVMisliceseduderAGPL3.0.Icaseyoueedaotherlicese,pleasecotactme.

CommadLieiterface

Istallatioistructiosforthecommadlieversios.

TermialversioforLiux/OSXliquidSVM.tar.gzTermialversioforWidows(64bit)avx2:liquidSVM.zipavx:liquidSVM.zipsse2:liquidSVM.zipPreviousversiosv1.1(Jue2016),v1.0(Jauary2016)

OLiuxadMacothetermialliquidSVMcabeusedithefollowigway:

wgetwww.isa.ui-stuttgart.de/software/liquidSVM.tar.gztarxzfliquidSVM.tar.gzcdliquidSVMmakeallscripts/mc-svm.shbaaa-mc12R

ReadthedemovigetteforatutorialoistalligliquidSVM-packageadhowtouseitadthedocumetatiovigetteformoreadvacedistallatiooptiosadusage.

Aeasyusageis:

istall.packages("liquidSVM")library(liquidSVM)baaa<-liquidData('baaa-mc')model<-mcSVM(Y~.,baaa$trai,display=1,threads=2)result<-test(model,baaa$test)errors(result)Pytho

ReadthedemootebookforatutorialoistalligliquidSVM-packageadhowtouseitadthehomepageformoreadvacedistallatiooptiosadusage.

Toistalluse:

pipistall--userliquidSVM

adtheiPythoyoucauseite.g.like:

fromliquidSVMimport*baaa=LiquidData('baaa-mc')model=mcSVM(baaa.trai,display=1,threads=2)result,err=model.test(baaa.test)MATLAB/Octave

TheMATLABbidigsarecurretlygettigabetteriterface,adthisisapreviewversio.

ItdoescurretlyotworkoWidows.

ForistallatiodowloadtheToolboxliquidSVM.mltbxadistallitiMATLABbydoubleclickigit.Tocompileadaddpathsissue:

makeliquidSVMative

Theyoucauseitlike:

baaa=liquidData('baaa-mc');model=svm_mc(baaa.trai,'DISPLAY',1,'THREADS',2);[result,err]=model.test(baaa.test);

MostofthecodealsoworksiOctaveifyouuseliquidSVM-octave.zip.

Java

Themaihomepageishere.ForistallatiodowloadliquidSVM-java.zipaduzipit.Theclassesareallipackagede.ui_stuttgart.isa.liquidsvmadaeasyexampleis:

LiquidDatabaaa=ewLiquidData("baaa-mc");SVMmodel=ewMC(baaa.trai,ewCofig().display(1).threads(2));ResultAdErrorsresult=model.test(baaa.test);

IfthisisimplemetedithefileExample.javathiscabecompiledadruusig

#ifyouwattocompiletheJNI-ativelibrary:makelib#compileyourJava-Codejavac-classpathliquidSVM.jarExample.java#adruitjava-Djava.library.path=.-cp.:liquidSVM.jarExampleSpark

Thisisapreviewversio,seeSparkformoredetails.DowloadliquidSVM-spark.zipaduzipit.AssumeyouhaveSparkistalledi$SPARK_HOMEyoucaissue:

makelibexportLD_LIBRARY_PATH=.:$LD_LIBRARY_PATH$SPARK_HOME/bi/spark-submit\--classde.ui_stuttgart.isa.liquidsvm.spark.App\liquidSVM-spark.jarbaaa-mc

IfyouhavecofiguredSparktobeusedoaclusterwithHadoopuse:

hdfsdfs-putdata/covtype-full.trai.csvdata/covtype-full.test.csv.makelib$SPARK_HOME/bi/spark-submit--files../libliquidsvm.so\--cofspark.executor.extraLibraryPath=.\--cofspark.driver.extraLibraryPath=.\--classde.ui_stuttgart.isa.liquidsvm.spark.App\--um-executors14liquidSVM-spark.jarcovtype-fullExtraDatasetsfortheDemo

covertypedatasetwith35.090traiigad34.910testsamples

covertypedatasetwith522.909traiigad58.103testsamples

BothdatasetswerecompiledfromLIBSVM'sversioofthecovertypedataset,whichiturwastakefromtheUCIrepositoryadpreprocessedasi[RC02a].CopyrightforthisdatasetisbyJockA.BlackardadColoradoStateUiversity.

Citatio

IfyouuseliquidSVM,pleaseciteitas:

I.SteiwartadP.Thoma.liquidSVM:AfastadversatileSVMpackage.ArXive-prits1702.06899,February2017.

General Information Support vector machines (SVMs) and related kernel-based learning algorithms a...

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