Search.setIndex({envversion:42,terms:{delaythreshold:2,entropi:[4,5],orthogon:5,setmaxdepth:4,ignoretrailingwhitespac:2,marshalseri:1,poorli:4,prefix:[3,5],sleep:1,dirnam:1,json_sdf:2,gradientboostedtre:5,avg:2,getscalingvec:4,whose:[2,5,1],setlabel:4,saveashadoopdataset:1,pprint:3,yarn:1,getrootdirectori:1,deviat:[2,4,5,1],verifyschema:2,under:[4,5,1],sortbykei:1,registerjavafunct:2,digit:2,everi:[2,4,3,5,1],quantil:[2,4],eprod:[4,5],rise:5,convertvectorcolumnsfromml:5,upstream:2,affect:[4,1],solver:4,rowsbetween:2,pearsoncorr:5,setn:4,flatmap:[3,1],initialmodel:5,nfoo:1,getaggregationdepth:4,mergevalu:[3,1],jdstream:3,vector:[4,5,1],bkm_path:4,matric:[4,5],cmu:5,ignore_exception_detail:2,mintokenlength:4,randomsplit:[2,1],naiv:[4,5],probabilitycol:4,orc_partit:2,qrdecomposit:5,second:[2,3,5,1],aggreg:[2,4,1],setbandwidth:5,setmaxit:4,groupbykei:[3,1],even:[2,4,5,1],asin:2,neg:[2,5],topanda:2,mintf:4,"while":[2,4,3,1],islargerbett:4,getcheckpointinterv:4,getweightcol:4,residualdegreeoffreedom:4,"new":[2,4,3,5,1],net:4,ever:2,groupid:[3,1],metadata:[2,4,3,5,1],keepseri:3,saveastextfil:[3,5,1],manipul:2,behavior:[2,4],human:5,show_profil:1,ecdf:5,here:[2,4,5,1],typeerror:[4,5],getdroplast:4,path:[2,4,5,1],interpret:[2,3,1],incom:5,getcasesensit:4,glm:4,sumdistinct:2,precis:[2,4,5],datetim:[2,3],keytyp:2,permit:4,aka:[2,4],samplestdev:1,sequencefil:1,frombas:2,slicer:4,instr:2,dens:[4,5],longwrit:1,topicdistributioncol:4,linearli:4,substr:2,unix:2,covar_samp:2,printf:2,mlutil:5,txt:[2,1],unit:[2,4,5,1],setpredictioncol:4,describ:[2,4,5],would:[2,4,5,1],sparkfil:1,ndcgat:5,unpredict:5,concret:2,call:[2,4,3,5,1],recommend:[0,1],gbtr_path:4,type:[0,4,5,1],until:[2,4,5,1],topolar:2,relat:[2,4,3,1],expm1:2,warn:[4,5,1],exce:[4,5],hole:2,hold:[4,5],must:[2,4,3,5,1],kumar:[4,5],userfeatur:5,join:[2,3,5,1],multinomi:[4,5],err:2,bitwiseor:2,setup:3,work:[2,4,5,1],multilayerperceptronclassifi:4,isin:2,explainparam:4,coalesc:[2,1],areaunderroc:[4,5],frequenc:[2,4,5],root:[2,4,5,1],overrid:[2,4,1],setindic:4,wrriten:3,setrandomcent:5,give:[2,4,5,1],setnumpartit:[4,5],doubletyp:2,liter:2,caution:1,fmeasurebythreshold:4,want:[2,4,3,5],quadrat:[4,5],getdocconcentr:4,setinputcol:4,inputcol:4,keep:[2,4,1],unsign:2,risk:[4,5],end:[2,3,5,1],quot:2,namedtemporaryfil:[5,1],ordinari:4,classifi:[4,5],how:[2,4,3,5,1],hot:4,env:1,answer:2,verifi:2,createcombin:[3,1],poissonrdd:5,config:2,partitionfunc:[3,1],confid:[4,5,1],ovr:4,dialect:4,recogn:[3,5],tablenam:2,after:[2,4,3,5,1],befor:[2,4,3,5,1],vectortransform:5,retain:[2,3,1],intwrit:1,fillna:2,invfunc:3,parallel:[2,4,3,5,1],averag:[2,4,5,1],reshap:[4,5],attempt:[4,1],third:2,classmethod:[2,4,3,5,1],bootstrap:5,credenti:3,localdoc:5,loadedassembl:4,blocks1:5,polynomialexpans:4,blocks3:5,maintain:4,environ:[4,5,1],arraytyp:2,enter:3,exclus:[2,1],lambda:[2,4,5,1],order:[2,4,3,5,1],bkm:4,maxpatternlength:5,getnumtopfeatur:4,composit:4,feedback:4,gmm_model:4,over:[2,4,3,5,1],spearmancorr:5,becaus:[2,4,5],veri:[2,4,5,1],convertmatrixcolumnstoml:5,vari:[5,1],digest:2,fit:[2,4,5],fix:[2,4,3,5,1],streamlib:1,better:[4,1],gkhome:5,eventtim:2,thrown:[2,4],getregparam:4,foreachrdd:3,persist:[2,3,5,1],murmurhash:4,split:[2,4,5,1],them:[2,4,3,5,1],thei:[2,4,3,5,1],safe:[2,1],interrupt:1,getsplit:4,rformulamodel:4,onethird:[4,5],onbatchsubmit:3,choic:4,setsmooth:4,user_product:5,dropdupl:2,regexp_replac:2,uhrbach:2,sqltransform:4,timeout:[2,3,1],each:[2,4,3,5,1],debug:[2,1],side:[2,4,5,1],mean:[2,4,5,1],sparkcontext:[0,3,2,5,1],slen:2,list:[2,4,3,5,1],mdf:4,meansquarederror:[4,5],metricnam:4,extract:[2,4],unbound:2,e_min:4,gradient:[4,5],newli:[2,4],javastringlength:2,jrdd_deseri:[3,1],content:0,dsl:2,adapt:4,elasticnet:4,getparam:4,create_map:2,format_str:2,savemod:2,streaminglogisticregressionwithsgd:5,accum_param:1,linear:[4,5],written:[2,3,1],cd9fb1e148ccd8442e5aa74904cc73bf6fb54d1d54d333bd596aa9bb4bb4e961:2,standard:[2,4,5,1],lineag:1,small:[2,4,5,1],topicsmatrix:[4,5],factoris:5,freq:[4,5],withmean:[4,5],outputformatclass:1,setinitialcent:5,getvector:[4,5],angl:2,stringlengthint:2,traceback:[2,4,5,1],createdatafram:[2,4,5],loadedretoken:4,filter:[2,4,3,5,1],tolist:[4,5],iso:2,regress:0,kmeans2:4,app:1,confus:5,ischeckpoint:1,dimens:[4,5,1],rang:[2,4,3,5,1],getratingcol:4,refresht:2,mappartitionswithindex:[3,1],rank:[2,4,5],dbname:2,alreadi:[2,4,5,1],wrapper:[2,4,5],appl:1,basicprofil:1,setestimatorparammap:4,treeweight:4,cartesian:[2,1],tvsmodel:4,typeconvert:4,nomin:4,decisiontreemodel:5,top:[2,4,3,5,1],als_model:4,foldbykei:1,cumul:[2,5],master:[2,3,1],too:[2,4],tol:4,similarli:1,recent:[2,4,5,1],getquantileprob:4,wrong_kei:2,danish:4,consol:2,jmlr:[4,5],tool:3,lower:[2,4,5,1],sha1:2,incur:5,somewhat:1,signum:2,sortbi:1,date_format:2,target:[2,4,5,1],keyword:4,provid:[2,4,3,5,1],expr:2,tree:[0,4,1],zero:[2,4,5,1],project:[2,4,5],matter:1,kth:1,entri:[0,1,2,3,4,5],start_job:1,registerfunct:2,cachedexecutoridletimeout:1,mini:4,standardscal:[4,5],retainedjob:1,setmaxmemoryinmb:4,settopicdistributioncol:4,blormodel:4,mine:5,raw:[4,5],dedupl:2,seed:[2,4,5,1],"__this__":4,manner:1,increment:[2,3,1],getalpha:4,lda_path:4,minu:2,strength:4,withcolumnrenam:2,recreat:3,fullouterjoin:[3,1],reducebykeyandwindow:3,latter:[2,4,5,1],panda:2,bodydecod:3,evalu:0,getlay:4,vectorindexerpath:4,expens:[2,1],clusterweight:5,glom:[3,1],hyperbol:2,glob:[5,1],object:[2,4,3,5,1],what:1,supress:1,ab12cd:2,regular:[2,4,5],specifi:[2,4,3,5,1],letter:2,createstream:3,setmincount:[4,5],contain:[2,4,3,5,1],setrawpredictioncol:4,computecost:[4,5],stringindexerpath:4,broadcast:[2,1],doi:[2,5],don:[2,1],rfr:4,partition:[3,1],censorcol:4,doe:[2,4,3,5,1],getinitialweight:4,dummi:4,expstd:5,declar:4,gbtregressionmodel:4,enclos:2,categoricalfeaturesinfo:5,unchang:4,numnod:[4,5],dot:[2,4,5],createrdd:3,sqltransformerpath:4,random:[0,4,1],concurr:3,syntax:4,runid:2,dirpath:1,getmaxbin:4,from_unixtim:2,involv:4,absolut:[2,4,5,1],stopgracefulli:3,minsupport:5,latent:[4,5],acquir:1,field2:2,explain:[2,4,5],configur:[2,4,5,1],apach:[2,4,3,1],log2:[2,4,5],first_product:5,to_profil:1,rice:5,vectorassembl:4,selectedfeatur:4,label2:4,conduct:5,stop:[2,4,3,5,1],ceil:2,chisqselectorpath:4,csv_sdf:2,getcensorcol:4,usedisk:1,report:[3,5,1],vectorindex:4,symmetr:5,statustrack:1,receiv:[4,3,5,1],earn:2,pearson:[2,4,5],bar:1,fact:4,collect_list:2,sacrific:1,"public":1,bag:5,bad:[4,1],respond:1,checkpointinterv:[4,3,5],mkdtemp:[2,5],fair:1,sparsevector:[4,5],getdegre:4,elimin:[2,3],datatyp:[2,1],num:[2,4,3,5,1],result:[2,4,3,5,1],respons:4,fail:[2,1],collectasmap:1,simpl:[2,4,5],optimum:4,subprotocol:2,impur:[4,5],said:4,subarrai:4,wikipedia:[4,5],setclassifi:4,sequenti:[2,5,1],score:[4,5],irl:4,elementwis:[4,5],randomforestregressor:4,drawn:5,lasso:4,approach:[4,5],setestim:4,attribut:[2,4,5],accord:[2,5,1],coefficient_of_determin:4,extend:[2,1],keeplastcheckpoint:4,xrang:1,weak:1,subtractbykei:1,extens:4,lazi:5,countapprox:1,substring_index:2,loaddefaultstopword:4,toler:[4,3,5,1],getfpr:4,samemodel:[4,5],paramnam:4,numfold:4,cov:[2,4],hashabl:5,fault:[3,1],howev:[2,5,1],against:[2,4,5],setlearningdecai:4,logic:2,topicconcentr:[4,5],countri:2,com:[3,5],col:[2,5],rpad:2,jspec:2,character:3,getstageinfo:1,longtyp:2,height:2,logisticregressionwithsgd:5,pickle_registri:1,shortcut:4,batchdur:3,guid:3,assum:[2,5,1],duplic:[2,4,1],union:[2,3,1],fri:2,strata:2,numpi:[4,5],three:[2,3,1],been:[2,4,3,5,1],accumul:1,much:[2,1],getfamili:4,basic:[0,3,1],concat_w:2,setbinari:[4,5],quickli:4,countbykei:1,mcm:5,deeper:4,aggregatebykei:1,mce:4,worker:[3,1],awaitanytermin:2,lpad:2,datastreamread:2,combop:1,setwithstd:[4,5],ident:[2,4],tanh:2,servic:3,properti:[2,3,5,1],lesser:5,euclidean:5,calcul:[2,4,3,5],dataframewrit:2,aid:1,udfregistr:2,describetop:[4,5],aic:4,printabl:1,conv:2,n_t:5,rangebetween:2,finalstoragelevel:4,setevalu:4,need:[2,4,5,1],kwarg:[2,4],cond:2,conf:[2,1],sever:2,gbtregressor:4,decayfactor:5,setmin:4,disabl:[2,4],descent:[4,5],perform:[2,4,5,1],suggest:[4,1],make:[2,4,3,5],who:1,descend:[2,5,1],vecassembl:4,gbtc_model:4,complet:[2,3,5,1],getsubsamplingr:4,word2vec:[4,5],explainedvari:[4,5],recordlength:[3,1],hand:5,norwegian:4,rais:[2,4,5,1],scale:[2,4,5],mincount:[4,5],bia:[5,1],stop_job:1,glr:4,tune:0,getnumfeatur:4,shiftright:2,kept:[4,1],thu:[2,4,5,1],confusionmatrix:5,inherit:[5,1],samplingratio:2,client:3,greatest:2,thi:[2,4,3,5,1],destroi:[4,1],gzip:2,programm:1,everyth:2,indexedrow:5,left:[2,4,3,5,1],deptid:2,setinitstep:4,identifi:[4,5,1],just:[4,5],setcheckpointdir:[2,1],coefficientmatrix:4,ordin:2,full_out:2,setlabelcol:4,bandwidth:5,loadedpca:4,getactivejobsid:1,numtre:[4,5],nullvalu:2,yet:[2,1],languag:[2,4,5,1],previous:1,kolmogorovsmirnovtestresult:5,tempfile2:1,expos:1,had:[2,1],getmindf:4,discret:[0,4,3,5],keyclass:1,els:[2,5],right_out:2,save:[2,4,3,5,1],hat:[4,5],applic:[2,4,3,5,1],cachenodeid:4,advis:[4,1],preserv:4,loadedword2vec:4,rng:5,background:2,residualstyp:4,setfeaturesubsetstrategi:4,outputoperationcomplet:3,measur:[2,4,5],setsystemproperti:1,specif:[2,4,3,5,1],arbitrari:1,istemporari:2,countvectorizerpath:4,lassomodel:5,"0x7fdfde9f9ed8":1,scikit:4,hassummari:4,unnecessari:2,underli:[2,4,5],setkeeplastcheckpoint:4,www:5,right:[2,4,3,5,1],old:[3,5,1],deal:2,interv:[2,4,3,5],maxim:[4,5],dead:1,intern:[2,4,3,5,1],loadvector:5,maxit:4,flatten:[3,1],preservespartit:[3,1],glr_model:4,getse:4,ridgeregressionmodel:5,total:[2,4,5,1],wholetextfil:1,bottom:[4,5],setinitmod:4,flush:5,subclass:4,icd:5,track:[2,4,3,1],select:[2,4,5],setsplit:4,condit:[2,4,5],umn:5,friedman:4,plu:[2,5],docclusterkddtmw00:5,sparkjobinfo:1,topic_nam:3,mapvalu:[3,1],discount:5,relationship:4,corr:[2,5],hadamard:[4,5],queuestream:3,obj:[2,1],setwindows:[4,5],nanvalu:2,getnumitemblock:4,kinesisutil:3,getlosstyp:4,algo:4,adel:4,commit:2,produc:[2,4,5,1],uniformrdd:5,getmintokenlength:4,"float":[2,4,5,1],encod:[2,4,3,1],bound:[2,4,5],supportedfeaturesubsetstrategi:[4,5],down:1,resili:[0,1],wrap:2,storag:[2,4,3,5,1],east:3,poissonvectorrdd:5,jdbc:2,wai:1,getfeaturescol:4,support:[2,4,5,1],isdefin:4,transform:[4,3,5],avail:[2,4,3,5,1],width:[2,3],fraction:[2,4,5,1],gettopicdistributioncol:4,getvariancecol:4,lowest:5,head:[2,4],takesampl:1,form:[2,5,1],forc:[4,5,1],epsilon:5,polyexpansionpath:4,streaminglisten:3,back:[2,4,5],renam:2,supportedlosstyp:4,"true":[2,4,3,5,1],newapihadoopfil:1,gbtclassifi:4,javavectortransform:5,maxiter:5,samplevari:1,endpointurl:3,bkm2:4,hypot:2,toggl:4,absenc:3,setsteps:4,bytebuff:1,portable_hash:[3,1],trim:2,setcheckpointinterv:4,classif:0,featur:[0,1],poweriterationclusteringmodel:5,repartit:[2,3,1],model3:4,model2:4,"abstract":[0,4,3,5,1],nanvl:2,exist:[2,4,3,5,1],getmetricnam:4,ship:1,check:[2,4,1],assembl:4,password:2,value12:2,floor:2,when:[2,4,3,5,1],tolistint:4,test:[2,4,5,1],tie:2,shrink:5,getindic:4,node:[2,4,5,1],intend:2,months_between:2,df_as1:2,df_as2:2,clearthreshold:5,streamingquerymanag:2,insensit:[2,4],intent:3,consid:[2,4,5,1],sql:[0,4,1],pyrolit:1,to_utc_timestamp:2,getblocks:4,billion:2,maptyp:2,faster:1,filterfunc:3,todens:[4,5],getcheckpointfil:[4,1],subsamplingr:4,tinyint:2,ignor:[2,4,3,5],left_semi:2,time:[2,4,3,5,1],backward:2,createpollingstream:3,corpu:[4,5],unhex:2,concept:[4,5],chain:1,left_out:2,skip:[2,4,5,1],global:[2,4,1],stddev_pop:2,stepsiz:[4,5],bskm:5,large_broadcast:1,row:[2,4,5],hierarch:5,decid:[2,5],memory_only_ser_2:1,depend:[2,4,3,5,1],zone:2,tokenizerpath:4,ssszz:2,graph:[3,5],"_jconf":1,intermedi:[2,4,5],usememori:1,logisticregress:[4,5],latestmodel:5,vec:[4,5],jvm:2,loadeddtc:4,larg:[2,4,3,5,1],minmaxscalerpath:4,isinst:5,maxbin:[4,5],sourc:[2,4,3,5],string:[2,4,3,5,1],asymptot:4,lrm:5,kitten:2,word:[2,4,5],aftsr_path:4,dim:5,foo:[2,1],setvectors:[4,5],level:[2,4,3,5,1],did:[2,1],setloglevel:1,computecovari:5,iter:[2,4,5,1],item:[2,4,5,1],getelasticnetparam:4,offsetrang:3,repartitionandsortwithinpartit:1,intermediatestoragelevel:4,round:[2,4,5],dir:[4,5],setintermediatestoragelevel:4,upper:[2,4,5],jdf:2,slower:3,sign:2,is_cach:1,indexedrowmatrix:5,dataframestatfunct:2,numcolblock:5,ndcg:5,onreceiverstop:3,jobid:1,port:3,recommendproductsforus:5,tallskinnyqr:5,disk_only_2:[2,1],appear:[4,5],rollup:2,remain:4,icml2010:5,uniform:5,current:[2,4,3,5,1],portugues:4,boost:[4,5],getnumuserblock:4,drastic:2,deriv:[4,5],test2:4,gener:[2,4,3,5,1],naivebayesmodel:[4,5],coeffici:[2,4,5],french:4,objectivehistori:4,satisfi:[3,1],explicitli:[2,4],modif:[4,5],allclos:4,address:3,along:1,getmindivisibleclusters:4,tovector:4,togeth:[2,4,5,1],statu:[2,1],shift:[2,4],vectors:[4,5],gbtc_path:4,profiler_cl:1,behav:1,poisson:[4,5],streaminglinearalgorithm:5,generalizedlinearregressionmodel:4,commonli:[4,5,1],dayofweek:2,semant:1,extra:[2,4],dtype:[2,4],modul:[0,1],setfeaturescol:4,prefer:[4,5,1],n_th:5,initializationmodel:5,toarrai:[4,5],uncensor:4,instal:[2,1],should:[2,4,3,5,1],regex:[2,4],gaussianmixturemodel:[4,5],matrixentri:5,asdict:2,memori:[2,4,1],vectorslicerpath:4,live:3,value2:[2,5,1],value1:[2,5,1],increas:[2,4,3,5,1],scope:4,convergencetol:[4,5],initcent:5,setnumitemblock:4,setimplicitpref:4,implicitpref:4,minsplit:1,peopl:2,kurtosi:2,claus:2,maxabsscal:4,disk_onli:1,application_1433865536131_34483:1,setoutputcol:4,ntile:2,logarithm:2,covar_pop:2,regextoken:4,aftsurvivalregress:4,hook_compress:1,prepar:1,constraint:[4,3,5],uniqu:[2,4,5,1],murmurhash3_x86_32:4,cat:1,can:[2,4,3,5,1],purpos:2,dynamicalloc:1,seqop:1,sparksess:2,nearest:[4,5],stream:[0,5,1],validationmetr:4,predict:[4,5],smirnov:5,agent:3,literatur:4,topic:[4,3,5],originalmin:4,untiloffset:3,cube:2,addinplac:1,paramgridbuild:4,getvocabs:4,maxmemoryinmb:4,cardin:[5,1],verlag:5,leastabsoluteerror:5,alwai:[2,3,5,1],todebugstr:[4,5,1],multipl:[2,4,3,5,1],hungarian:4,setoptimizedocconcentr:4,fpm:0,charset:2,write:[2,4,5,1],learningoffset:4,getvectors:4,criterion:[4,5],foreach:[2,1],mindocfreq:[4,5],fpr:[4,5],gaussiansdf:4,opt1:2,numiter:[4,5],opt3:2,opt2:2,map:[2,4,3,5,1],product:[2,4,5,1],gethandleinvalid:4,mat:5,atan:2,max:[2,4,5,1],clone:1,hasparam:4,usabl:1,gettolowercas:4,appnam:[2,1],membership:5,mae:4,mixin:5,mai:[2,4,3,5,1],sparkstageinfo:1,data:[0,1,2,3,4,5],grow:2,agecol:2,istranspos:[4,5],practic:[4,1],subpackag:0,mascal:4,divid:[4,5,1],setmaxcategori:4,samplebykei:1,predic:[2,3,1],inform:[4,3,5,1],"switch":1,preced:[2,4],combin:[4,1],block:[2,4,5,1],setitemcol:4,getmaxcategori:4,tall:5,itemcol:4,initialrdd:3,gettopicconcentr:4,streamingqueri:2,kafka:0,combinebykei:[3,1],categorymap:4,multi_class_data:5,loadedencod:4,dynam:1,windowspec:2,mapr:1,group:[0,1,2,3,4,5],monitor:[3,1],concis:2,devianc:4,loadedstandardscal:4,defin:[2,4,3,5,1],setselectortyp:[4,5],window:[2,4,3,5],getimplicitpref:4,setforceindexlabel:4,main:[0,3,2,1],enabledecompress:3,non:[2,4,5,1],getlabelcol:4,recal:[4,5],add_month:2,hivecontext:2,bisectingkmeansmodel:[4,5],getnonneg:4,initi:[4,3,5,1],col1:2,half_even:2,half:5,dump_profil:1,booleantyp:2,setscalingvec:4,now:[2,4],nor:5,settopicconcentr:4,term:[4,5,1],mapreduc:[5,1],name:[0,1,2,3,4,5],rmse:4,primitivesasstr:2,loadedbinar:4,drop:[2,4,1],isnul:2,userfactor:4,separ:[2,4,5],setsparkhom:1,updat:[2,4,3,5,1],nbar:1,m_t:5,compil:4,domain:2,getnumfold:4,replac:[2,5,1],individu:[4,5,1],avgmetr:4,continu:[2,4,3,5],dropna:2,pickleseri:1,keyfunc:1,redistribut:1,year:2,falsepositiver:5,happen:2,conting:[2,5],learningr:5,hashingtfpath:4,space:[2,4,5,1],interceptvector:4,astyp:2,residualdegreeoffreedomnul:4,loadedselector:4,binaryclassificationevalu:4,profil:1,resettermin:2,dutch:4,formula:[4,5],factori:[2,4,5],setelasticnetparam:4,setstat:4,lag:2,randomforestmodel:5,variant:[2,4],argument:[2,4,3,5,1],java_model:[4,5],generalizedlinearregressiontrainingsummari:4,setstag:4,integertyp:2,org:[2,4,3,5,1],"byte":[2,3,1],batchsubmit:3,upon:4,orc:2,care:[4,5],weibul:4,"3c01bdbb26f358bab27f267924aa2c9a03fcfdb8":2,truepositiver:5,suffici:4,checkpointpath:3,insert:2,synchron:2,binarysearch:5,recov:3,turn:[2,1],setweightcol:4,place:[2,4,5,1],origvec:4,frequent:[2,4,5],first:[2,4,3,5,1],origin:[4,5,1],reimplement:5,directli:[2,3,5,1],carri:[4,5],onc:[2,4,3,1],arrai:[2,4,5,1],currenlti:4,yourself:3,toboolean:4,stringtyp:2,submit:[3,1],spanish:4,modulo:4,dataframeread:2,open:1,getact:3,size:[2,4,5,1],l_2:5,bisectingkmeanssummari:4,given:[2,4,3,5,1],l_1:5,silent:2,tibshirani:[4,5],fmt:4,tolistfloat:4,getjobidsforgroup:1,stddev_samp:2,argmax:4,paramt:4,white:[4,1],allowloc:1,getestimatorparammap:4,countvectorizermodel:4,ariti:5,especi:2,copi:[4,3,5,1],rfr_path:4,upperbound:2,itemset:5,logist:[4,5],setnumfeatur:4,setmininstancespernod:4,irrecover:1,than:[2,4,3,5,1],rdd2:1,elast:4,rdd1:1,instanc:[2,4,5,1],bkm_model:4,sequncefil:1,appendbia:5,serd:2,chisquar:5,were:2,posit:[2,4,3,5],settolowercas:4,pre:[4,5],fork:1,sai:2,gramian:5,query_explain:2,left_anti:2,delim:2,ani:[2,4,5,1],getnumtre:4,lamb:1,logisticregressionwithlbfg:5,binaryfil:1,exclud:4,setthreshold:[4,5],sat:2,bitwis:2,engin:1,squar:[2,4,5],alias:2,getmaxsentencelength:4,setcachenodeid:4,note:[2,4,3,5],droptempview:2,blocks2:5,take:[2,4,5,1],exploratori:2,getfeaturesubsetstrategi:4,treereduc:1,rnlt:2,si_model:4,sqlqueri:2,ratingcol:4,sure:3,textfilestream:3,trace:[4,1],normal:[2,4,5,1],multipli:[4,5],setexecutorenv:1,ensembl:[4,5],compress:[2,1],libsvm:5,processallavail:2,getinitstep:4,cogroup:[3,1],hasti:4,beta:[4,5],date2:2,pair:[2,4,3,5,1],mycustomprofil:1,stringindex:4,synonym:5,onreceiverstart:3,aggregationdepth:4,later:[2,4,5],runtim:2,pattern:[2,4,5,1],effect:[4,5,1],dstream:[0,3,5],sigma:5,temptablealreadyexistsexcept:2,gracefulli:3,event:[2,4,3],"0x7fdfde9fb578":[3,1],"16be":2,show:[2,4,1],german:4,first_us:5,unboundedfollow:2,reducebywindow:3,pca_featur:4,joined_df:2,permiss:2,threshold:[4,5],vectorassemblerpath:4,line:[2,3,5,1],fifth:2,ground:5,xml:2,onli:[2,4,3,5,1],slow:1,ratio:[2,4],transact:5,activ:[2,4,3,5,1],behind:2,scalingvec:4,dynamodb:3,treeaggreg:[4,1],parametr:4,dict:[2,3,5,1],analyz:2,tolocalmatrix:5,info:[4,3,5,1],getcachenodeid:4,nearli:[5,1],variou:[2,3,1],get:[2,4,3,5,1],cannot:[2,4,5,1],shiftrightunsign:2,progress:[2,1],invreducefunc:3,negativeinf:2,getmaxdepth:4,setquantilescol:4,requir:[2,4,5,1],liblinear:5,mapper:1,droplast:4,regexp_extract:2,median:2,yield:1,tfidf:5,netti:3,minibatchfract:5,e_i:4,where:[2,4,3,5,1],summari:[2,4,5],wiki:4,spars:[4,5],maximum:[2,4,3,5,1],standardscalerpath:4,ldaoptim:5,date1:2,testset:5,squared_dist:[4,5],getwithstd:4,label:[4,5],rformula:4,enough:[2,5],between:[2,4,3,5,1],"import":[2,4,5,1],maxtermspertop:[4,5],across:[2,4,5,1],assumpt:2,map_func:1,parent:[4,3,5,1],containsnul:2,jtracker:1,approxcountdistinct:2,javastringlength2:2,regionnam:3,come:2,outputcol:4,leastsquareserror:5,featuresubsetstrategi:[4,5],trainingloglikelihood:4,setcensorcol:4,region:3,gzipcodec:1,groupbi:[2,1],emit:2,inconsist:5,mani:[2,4],curv:[4,5],acceler:4,global_temp:2,rescal:[4,5],pow:2,period:[3,5,1],gettol:4,cancel:1,idfpath:4,poll:3,poli:4,setinvers:4,"9223372036854775808l":2,invert:[4,3],bahmani:4,invers:[2,4,3,5],mark:[2,4,1],workshop:5,covert:[4,5],valueerror:1,currentrow:2,predictioncol:4,normalrdd:5,colptr:[4,5],jsqlcontext:2,getformula:4,retainedstag:1,those:[2,4,5,1],"case":[2,4,3,5,1],interoper:3,lognormalvectorrdd:5,tostr:[4,1],logprior:4,countdistinct:2,streamingkmean:5,trick:[4,5],hdf:[3,1],invok:[2,5,1],outcom:5,weightag:5,finer:1,bisectingkmean:[4,5],stdout:1,percent_rank:2,metric:[4,3,5],henc:[4,5],maxabsscalermodel:4,cluster:[0,1],tinyurl:5,scipi:[4,5],vectorslic:4,shutil:5,ascii:2,getlocalproperti:1,getjobinfo:1,develop:[3,5],inputformat:1,fitintercept:4,bitwisexor:2,fewer:[2,4,5,1],same:[2,4,3,5,1],numnonzero:[4,5],takeord:1,epoch:[2,1],html:1,pad:[2,4],sentenc:[2,4,5],shell:1,document:[2,4,3,5],week:2,finish:1,getmaxit:4,closest:[2,4,5],loadedidf:4,utf8:3,nest:[2,5],cume_dist:2,companion:4,getfitintercept:4,extern:[2,1],off_heap:1,linearregressiontrainingsummari:4,setappnam:1,inputtoken:4,spark_us:1,matrixfactorizationmodel:5,findsynonym:[4,5],sethalflif:5,setmast:1,glr_path:4,without:[2,3,5,1],xmean:5,model:[4,5],isoton:[4,5],dimension:[2,4,5],includefirst:4,execut:[2,4,3,1],mypassword:2,tip:3,assert_equ:5,zipwithuniqueid:1,getstandard:4,tolowercas:4,sparkui:1,processingtim:2,speed:[2,4],gbtclassificationmodel:4,concentr:[4,5],absqrow:5,blor:4,akaik:4,trigger:[2,1],except:[2,4,3,5,1],littl:1,setnumiter:5,rowsperblock:5,"0x7fdfd7aea2a8":3,shorttyp:2,onbatchstart:3,loader:5,regressionevalu:4,real:[2,4,5],regparam:[4,5],toint:4,around:[2,4,5],tobas:2,setratingcol:4,read:[2,4,3,1],word2vecpath:4,productfeatur:5,pstat:1,grid:4,mon:2,logisticregressionsummari:4,world:1,setmodeltyp:4,pst:2,toblockmatrix:5,whitespac:2,x_t:5,integ:[2,4,5,1],unlimit:2,norml1:5,norml2:5,either:[2,4,3,5,1],toloc:4,getconf:[2,1],streaminglinearregressionwithsgd:5,manag:[2,4],setdegre:4,yyyi:2,convertmatrixcolumnsfromml:5,loadedtoken:4,withstd:[4,5],poi:5,ascend:[2,4,5,1],testdf:4,numlabel:4,totalnumnod:[4,5],setmintokenlength:4,getitemcol:4,nonzero:[4,5],slice:[2,4,3],getsteps:4,randomforestclassificationmodel:4,jgd:2,recomput:[4,1],best:4,elementwiseproduct:[4,5],settol:4,kmeans_path:4,colsperblock:5,numfeatur:[4,5],jhivecontext:2,refer:[4,5,1],ignoreleadingwhitespac:2,process:[2,4,3,5,1],setmaxsentencelength:4,power:[2,4,5],allowbackslashescapinganycharact:2,garbag:[3,1],broker:3,local_model_path:4,ngram:4,starttim:[2,1],fulli:[2,1],immut:1,binar:4,"throw":[2,4,3,5],earlier:3,comparison:[4,5],deflat:2,aco:2,numbit:2,maxbatchs:3,resultvec:4,mergecombin:[3,1],act:4,dayofyear:2,skew:2,readstream:2,effici:[2,3,5,1],sqm:2,relativeerror:[2,4],textinputformat:1,fpgrowthmodel:5,child:[4,5],terminolog:[4,5],mari:1,getoptimizedocconcentr:4,reducebykeyloc:1,pivot:2,yyi:2,your:[2,3,1],decisiontreeclassifi:4,log:[2,4,5,1],area:[4,5],meanapprox:1,hex:2,brute:5,overwrit:2,enablehivesupport:2,start:[2,4,3,5,1],numbucket:4,interfac:2,low:[4,5,1],precisionat:5,strictli:[4,5],generalizedlinearregressionsummari:4,monoton:[2,4,5],getlabel:4,getisoton:4,tupl:[2,4,5,1],jsonvalu:2,isdistribut:4,setstopword:4,bce_path:4,maxcolumn:2,categor:[4,5],longer:[2,4,1],notat:5,immedi:[2,1],initweight:5,sparse1:[4,5],possibl:[2,4,5],"default":[2,4,3,5,1],weightedtruepositiver:5,insertinto:2,bucket:[2,4,1],trainratio:4,sparkhom:1,timeunit:5,embed:[4,5],stochast:[4,5],setupfunc:3,todf:[2,4],uid:4,creat:[2,4,3,5,1],kafkautil:3,certain:[2,4,5],censor:4,deep:4,weightedrecal:[4,5],strongli:1,decreas:[4,3,5,1],originalmax:4,bob:2,proport:[4,5],escapequot:2,picklefil:1,fill:2,again:[2,4,1],dataframenafunct:2,newsess:2,googl:5,zerovalu:1,prepend:4,addfil:1,binomi:4,valid:[2,4,3,5,1],computegramianmatrix:5,writabl:1,you:[2,4,3,5,1],maxdepth:[4,5],lowerbound:2,sequenc:[2,4,3,5,1],symbol:4,getmininfogain:4,vertex:5,loadedinvert:4,polynomi:4,releas:[3,1],cancelalljob:1,standardscalarmodel:5,vocabulari:[4,5],concat:2,reduc:[4,3,1],col1_:2,directori:[2,3,5,1],setaggregationdepth:4,descript:[4,1],trainclassifi:5,token:[4,5],potenti:1,escap:2,sqlcontext:[0,5,2],localldamodel:4,unset:4,pipelinemodel:4,loadedhashingtf:4,represent:[2,4,3,5,1],all:[2,4,3,5,1],getoutputcol:4,forget:[2,5],recallbythreshold:4,ali:2,flatmapvalu:[3,1],softlib:5,month:2,bytearrai:2,scalar:4,correl:[2,4,5],follow:[2,4,5,1],hadooprdd:1,disk:[2,5,1],last_dai:2,secretkei:3,package_extens:1,estimatorparammap:4,laid:2,former:1,program:[2,3,1],present:[2,4,5],getmin:4,dist2:5,norm:[4,5],getmininstancespernod:4,nullhypothesi:5,mergeschema:2,dateformat:2,fals:[2,4,3,5,1],setgap:4,getrawpredictioncol:4,losstyp:4,util:[0,4],mechan:[2,1],topicandpartit:3,fall:[5,1],quantilescol:4,streamingcontext:[0,3],dtc_path:4,modeltyp:4,productid:5,nor2:5,sparse_data:5,predictionandlabel:5,cloglog:4,nulltyp:2,adjust:4,cosin:[2,4,5],dotnet:2,unpersist:[2,5,1],lda_local_model:4,correct:[4,5,1],stopwordsremov:4,rowmatrix:5,ten:2,clearcach:2,featurescol:4,decisiontreeregressor:4,past:2,rate:[4,5,1],range0:2,design:[4,5],onbatchcomplet:3,spark_partition_id:2,pass:[2,4,5,1],warin:5,further:4,setrelativeerror:4,hashingtf:[4,5],onehotencod:4,logloss:5,deleg:[4,5],abc:2,sub:5,richard:5,setcasesensit:4,sun:2,sum:[2,4,5,1],binaryrecordsstream:3,bytetyp:2,delet:[4,5,1],version:[2,4,5,1],intersect:[2,1],countbyvalu:[3,1],consecut:2,streamingqueryprogress:2,method:[2,4,3,5,1],zookeep:3,full:[2,4,3,5],hash:[2,4,3,5,1],nb2:4,setinitialweight:[4,5],khanna:2,drop_dupl:2,infin:[2,4,1],initialweight:[4,5],shouldn:5,onoutputoperationcomplet:3,getpercentil:4,modifi:[4,1],invoc:[2,1],valu:[2,4,3,5,1],trunc:2,that_queri:2,search:[0,4,2,1],setmindivisibleclusters:4,kolmogorovsmirnovtest:5,observ:[4,5],prior:[2,4,5],amount:[2,4,5],printschema:2,probit:4,doctest:[2,1],pick:[4,3],action:[5,1],narrow:2,magnitud:5,messagehandl:3,trainer:4,from_json:2,pcapath:4,via:[2,4,1],depart:2,data_typ:2,primit:[2,1],handleinvalid:4,topicdistribut:4,deprec:[2,5,1],getselectortyp:4,famili:[2,4],binarytyp:2,unbias:[2,4],perceptron:4,memory_and_disk_s:1,row1:2,kmeans_model:4,hexadecim:2,blocksiz:4,allowcom:2,distinct:[2,3,5,1],regist:[2,1],two:[2,4,3,5,1],formul:5,selectortyp:[4,5],taken:4,countapproxdistinct:1,gaussianmixturesummari:4,validatedata:5,more:[2,4,3,5,1],flat:[4,3,1],desir:[2,4,5],tumbl:2,valuetyp:2,setblocks:4,probabilist:4,onehotencoderpath:4,flag:[2,1],c_t:5,particular:[5,1],known:[2,4,5,1],exponentialrdd:5,cach:[2,4,3,5,1],memory_and_disk_2:[3,1],epoch_ordin:2,ensu:5,none:[2,4,3,5,1],thread:[2,3,1],hour:[2,3],aftsr2:4,json_tupl:2,initialpositioninstream:3,endswith:2,histori:4,orderbi:[2,4],ldamodel:[4,5],onevsrest:4,lambda_:5,returntyp:2,learn:[4,5],setmininfogain:4,setvariancecol:4,def:[2,5,1],explod:2,spearman:5,gammardd:5,tocoordinatematrix:5,scan:[2,4,5,1],registr:2,share:[2,5,1],accept:[2,4],samelda:4,minimum:[2,4,3,5,1],javardd:3,parammap:4,phrase:5,keydecod:3,densevector:[4,5],getquantilescol:4,cours:2,newlin:[2,5],secur:3,rather:[2,4,5,1],to_replac:2,hypothesi:5,csc:[4,5],divis:[4,5],csv:2,bround:2,mce_path:4,algebra:[4,5],numrecentprogressupd:2,greenwald:2,tofloat:4,mappartit:[2,3,1],reflect:2,catalog:2,termweight:4,scalerpath:4,sortwithinpartit:2,aaaac:2,varianc:[2,4,5,1],associ:[2,4,3,5,1],svec:4,setquantileprob:4,predictsoft:5,"short":2,pav:5,bucketizerpath:4,allowsinglequot:2,caus:[4,5,1],atan2:2,stabil:4,isact:2,egg:1,treeensemblemodel:5,multivari:[4,5],samplebi:2,help:[4,1],rand:2,"_c1":2,"_c0":2,itd:4,singleton:1,regtyp:5,held:4,paper:[4,5],through:[2,4,5,1],sqrt:[2,4,5],getnumpartit:[2,4,5,1],variat:[2,4],java_obj:4,paramet:[2,4,3,5,1],style:2,binari:[2,4,3,5,1],exact:2,multiclassmetr:5,interruptoncancel:1,late:2,setfpr:[4,5],weightedprecis:[4,5],saveassequencefil:1,bypass:5,columnnameofcorruptrecord:2,pca:4,might:[2,1],alter:2,md5:2,devianceresidu:4,gaussianmixtur:[4,5],good:5,"return":[2,4,3,5,1],lda_distributed_model:4,timestamp:2,largest:[2,4,5,1],withcolumn:2,dropmalform:2,halflif:5,nb_path:4,getordefault:4,oper:[2,4,3,5,1],partitionbi:[2,3,1],p362:2,userid:5,refresh:2,iff:2,radian:2,compris:5,found:[2,4,5,1],unicod:[3,1],kinesi:0,truncat:[2,4,5,1],schenker:2,weight:[2,4,5,1],stratifi:[2,1],hard:2,idea:4,generatelinearinput:5,hive:2,baseon:4,toindexedrowmatrix:5,clusterdata_2:5,http:[2,4,3,5,1],beyond:2,todo:4,orient:5,predictquantil:4,ftp:1,architectur:5,orantiton:4,loadedmmscal:4,robert:5,chisquaredtest:5,cloudwatch:3,research:5,unsupport:2,createglobaltempview:2,learningdecai:4,samesigma:5,expans:4,print:[2,4,3,5,1],keybi:1,occurr:2,qualifi:[2,1],constantin:5,isempti:1,stddev:2,advanc:5,driver:[2,4,3,5,1],decisiontre:5,pub:5,kafkaparam:3,asc:2,reason:2,base:[2,4,3,5,1],perplex:4,put:2,getoptim:4,decompress:3,existingrdd:2,mindivisibleclusters:[4,5],datastreamwrit:2,english:4,numcol:[4,5],omit:2,setsubsamplingr:4,model_path:[4,5],lifetim:2,assign:[2,4,5,1],noqa:1,getstoragelevel:1,major:[4,5],oserror:5,kerneldens:5,htf:5,standardscalermodel:[4,5],setlink:4,number:[2,4,3,5,1],done:[2,3,1],least:[2,4,5,1],unional:2,miss:[2,1],glr2:4,chisqselectormodel:[4,5],pvalu:[4,5],equi:2,differ:[2,4,3,5,1],tangent:2,exponenti:[2,5],loadedqd:4,meanaverageprecis:5,getinvers:4,checkpoint:[2,4,3,5,1],transformwith:3,supportedimpur:4,statement:[2,4],treeboost:4,sqltran:4,scheme:2,colnam:2,banana:1,store:[2,4,3,5],schema:2,option:[2,4,3,5,1],batchstart:3,trainvalidationsplit:4,tom:2,selector:[4,5],part:[2,5,1],jordan:[4,5],dt2:4,cosh:2,mlormodel:4,jrdd:1,anoth:[2,4,3,5,1],kind:[2,5],cyclic:2,dtc:[4,5],df4:2,remov:[2,4,5,1],df1:[2,4],minpartit:[5,1],df3:[2,4],df2:[2,4],cost:[2,4,5],str:[2,4,5,1],dtr:4,maxmalformedlogperpartit:2,hoefl:5,typic:4,positiveinf:2,randomli:[2,4,1],getclassifi:4,karp:2,comput:[2,4,3,5,1],rformulapath:4,setal:1,array_contain:2,packag:0,expir:3,mmscaler:4,"null":[2,4,3,5,1],format_numb:[2,4],gbt2:4,equival:[2,4,3,5],lastprogress:2,self:[4,1],violat:[4,5],npart:5,lit:2,also:[2,4,5,1],setisoton:4,subnam:2,build:[4,5,1],techniqu:[4,5],setp:4,weightedfalsepositiver:5,schedul:[2,3,1],getimpur:4,compat:[2,4,3,5,1],pipelin:0,rfc_path:4,clusterdata_1:5,settrainratio:4,jsc:1,choos:[4,5,1],setmax:4,mixtur:[4,5],most:[2,4,5,1],droptempt:2,bdf:4,plan:[2,4],kearslei:5,alpha:[4,5],streaming_queri:2,quorum:3,filesystem:1,windows:[4,5],clear:[2,4,5,1],cover:4,physica:5,salari:2,gbtc:4,tpr:4,clean:4,pars:[2,5],latest:[2,3,5],javastreamingcontext:3,aftsr_model:4,cdf:[2,5],hyper:4,linearregressionwithsgd:5,to_dat:2,test0:4,hostnam:3,session:2,jobgroup:1,getintermediatestoragelevel:4,find:[2,4,5,1],penalti:[4,5],rf2:4,withwatermark:2,bfg:[4,5],freqitemset:5,setnam:[4,1],writer:2,loadedmodel:4,setlearningoffset:4,underflow:2,canceljobgroup:1,nexampl:5,factor:[4,5],randomforest:5,std:[4,5],binarylogisticregressiontrainingsummari:4,sparkus:1,express:[2,4,5],cheaper:5,stopword:4,nativ:2,use_unicod:[2,1],linearregressionmodel:[4,5],sparsiti:4,restart:2,loadedep:4,tvalu:4,defaultminpartit:1,numinst:4,logperplex:4,rfc:4,trim_horizon:3,hadoopfil:1,statist:[2,4,5],setlocalproperti:1,fpgrowth:5,crosstab:2,idfmodel:[4,5],failfast:2,groupwith:1,arr:2,set:[2,4,3,5,1],art:1,gdf:2,reseri:1,sep:2,pid:2,minmaxscalermodel:4,df0:2,roc:[4,5],see:[2,4,3,5,1],getgap:4,arg:[2,4,5,1],close:[2,5,1],uncachet:2,elasticnetparam:[4,5],someth:1,streamingkmeansmodel:5,stringifi:5,reus:1,javasav:5,saveasnewapihadoopfil:1,freqsequ:5,altern:[2,4,5],scalingvector:5,trainvalidationsplitmodel:4,web:[2,1],numer:[2,4,1],multilay:4,lowercas:4,solv:[4,5],setnumtopfeatur:[4,5],classnam:1,minut:2,struct:2,both:[2,4,3,1],ridgeregressionwithsgd:5,last:[2,4,3,5,1],binarylogisticregressionsummari:4,inout:5,wed:2,outputmod:2,approx_count_distinct:2,context:[0,4,5,1],aftsurvivalregressionmodel:4,accumulatorparam:1,getestim:4,degreesoffreedom:[4,5],featureimport:4,load:[2,4,3,5,1],simpli:[2,4,5],ignorenul:2,point:[0,1,2,3,4,5],instanti:[2,1],datediff:2,re_path:4,residu:4,header:2,"0x7fdfd647d398":3,classof:5,param:0,suppli:[4,5],prefixspanmodel:5,loadlabeledpoint:5,blockmatrix:5,java:[2,4,3,5,1],word2vecmodel:[4,5],stamp:2,due:[2,4,5,1],empti:[2,4,3,5,1],sinc:[2,4,5,1],loaddefault:1,inferschema:2,wait:[2,3],rdd_b:3,strategi:4,anthoni:5,predictal:5,memory_and_disk_ser_2:1,saveast:2,sqlconf:2,binarizerpath:4,stratum:2,gap:[2,4,1],coordin:[2,3,5],areaunderpr:[4,5],func:[3,1],getmaxmemoryinmb:4,look:[2,3,5],timecolumn:2,steinbach:[4,5],loadedv:4,batch:[4,3,5,1],fleec:1,durat:[2,3],mlp:4,unifi:3,abov:5,error:[2,4,3,5,1],input_file_nam:2,setusercol:4,setjobgroup:1,valueconvert:1,propag:[2,1],blockcolindex:5,quantilediscret:4,key2:2,key1:2,loadedremov:4,floattyp:2,itself:[2,3],pythonstreaminglisten:3,seen:[2,3],namedtupl:2,islocallycheckpoint:1,getstopword:4,casesensit:4,queue:3,tointernald:2,elementwiseproductpath:4,minim:[2,4,5],"16le":2,belong:[2,5],shorten:2,hadoop:[2,3,5,1],approxquantil:[2,4],decod:[2,3,1],composition:5,conflict:4,higher:[4,3,5],prefixspan:5,getsmooth:4,optim:[2,4,5],wherea:4,sym:5,piec:4,covari:[2,5],moment:2,receiverstop:3,temporari:2,user:[2,4,5,1],svmmodel:5,gencircl:5,decimaltyp:2,stack:[4,5],addpyfil:1,sha2:2,quantileprob:4,task:[2,1],lib:1,getwindows:4,bitwisenot:2,pickl:1,person:2,inputformatclass:1,people1:2,loadedpx:4,karypi:[4,5],needconvers:2,lin:5,propos:2,explan:4,lda:[4,5],construct:[2,4,5],minmaxscal:4,linearregressionsummari:4,fromml:5,collabor:4,shape:5,calibr:4,independ:[2,4,5],snappi:2,setpattern:4,indexof:5,stringinddf:4,theoret:[4,5],setmaxbin:4,eager:2,randomforestregressionmodel:4,numpartit:[2,4,3,5,1],input:[2,4,3,5,1],subsequ:2,multiclassclassificationevalu:4,countvector:4,bin:[2,4,5],expmean:5,gettrainratio:4,countbyvalueandwindow:3,format:[2,4,5,1],numuserblock:4,intuit:5,getactiveorcr:3,flumeutil:3,"0x7fdfde29fbd0":2,datasourc:2,dtr_path:4,tempfile3:1,characterist:[4,5],openhook:1,table1:2,finnish:4,numitemblock:4,resolv:1,elaps:3,collect:[0,1,2,3,4,5],princip:4,distributedldamodel:4,dtr_model:4,from_utc_timestamp:2,sql_ctx:2,tmpfile:1,often:[4,1],probabilti:5,creation:2,some:[2,4,5,1],setrank:4,unspecifi:5,sampl:[2,4,5,1],cprofil:1,slidedur:[2,3],setfamili:4,server:3,multilayerperceptronclassificationmodel:4,distribut:[0,4,1],recommendproduct:5,"902fbdd2b1df0c4f70b4a5d23525e932":2,scala:[2,5,1],toliststr:4,repeatedli:4,javatowritableconvert:1,per:[2,4,3,5,1],cast:[2,4],sumapprox:1,mathemat:[2,4,5],centroid:5,pei:5,machin:[4,3,5],previou:[2,3,5],run:[2,4,3,5,1],reach:4,goe:2,age2:2,step:[2,4,5,1],output:[2,4,5,1],compressioncodecclass:1,subtract:[2,3,5,1],sequencefileoutputformat:1,hidden:4,idx:2,netflix:5,transpos:5,materi:1,page:0,microsecond:2,setmindf:4,idf:[4,5],italian:4,gamma:[4,5],jsq:2,reduct:[4,3],file2:1,file1:1,crpc:5,assert_almost_equ:5,gammavectorrdd:5,within:[2,4,3,5,1],mlp_model:4,ellipsi:1,onehot:4,multivariategaussian:5,fileinput:[5,1],ensur:[3,1],chang:[2,4,3,5,1],next:[2,4],inclus:[2,3],setfitintercept:4,kmean:[4,5],fast:[2,1],custom:[2,1],adjac:[4,5],arithmet:[4,5],includ:[2,4,3,5,1],dayofmonth:2,tr96640:5,unix_timestamp:[2,3],metastor:2,fromintern:2,reducefunc:3,filev:1,rowindic:[4,5],mlp_path:4,createtempview:2,decomposit:5,sdf:2,link:4,translat:[2,1],atom:2,russian:4,get_json_object:2,sparkconf:[2,1],mse:4,gbtr:4,ridgeregressionmod:5,concaten:2,row2:2,row3:2,utf:[2,3,1],consist:[2,4,5,1],caller:2,getpredictioncol:4,growth:5,leftouterjoin:[3,1],usercol:4,readlin:1,similar:[2,4,3,5],featureindex:4,sparsematrix:[4,5],als_path:4,trosset:5,constant:[4,5,1],getfield:2,als2:4,ngrampath:4,labelcol:4,jstring:2,doesn:2,repres:[2,4,3,5,1],"char":2,incomplet:1,this_queri:2,setsampl:5,totaliter:4,relativesd:1,predictonvalu:5,lemon:1,loadedindex:4,nan:[2,4,5],memory_only_s:1,invalid:[2,4],setmindocfreq:4,codec:[2,1],numrowblock:5,distributedmatrix:5,setnumbucket:4,rightouterjoin:[3,1],tempdir:1,mlor:4,deseri:1,assertionerror:[4,5],getmintf:4,exp:[2,5],mismatch:[4,5],colstat:5,finit:4,meaning:5,checkpointloc:2,setnumtre:4,keyconvert:1,dctpath:4,neariso:5,lbfg:5,products_for_us:5,soundex:2,svm:5,nb_model:4,algorithm:[2,4,5,1],kinesisappnam:3,memory_only_2:1,elementtyp:2,evenli:[2,4,1],cosinesimilar:5,depth:[4,5,1],autobatchedseri:1,came:2,udf:2,hello:[2,1],distributed_model_path:4,code:[2,4,5],edf:2,queri:[2,3,5],saveabl:5,modelpath:4,edu:5,jssc:3,setdocconcentr:4,multivariatestatisticalsummari:5,turkish:4,sensit:[2,4],base64:2,send:[4,3,1],nonposit:5,getlink:4,useoffheap:1,fatal:1,sent:[4,3,1],gini:[4,5],kcl:3,hasintercept:4,setlinkpredictioncol:4,getmodeltyp:4,tue:2,relev:[2,5],coefficientstandarderror:4,tri:4,todegre:2,stopsparkcontext:3,gender:2,michael:5,ryan:5,createdirectstream:3,"try":[2,5,1],maxsiz:2,getactivestageid:1,fromoffset:3,trainimplicit:5,pleas:[2,5],smaller:[5,1],readabl:5,natur:[2,4,5],lr_path:4,among:2,hasdefault:4,initmod:[4,5],blanklin:[2,5],setconf:2,download:1,maxab:4,setnumfold:4,percentil:[2,4,5],append:[2,4,5],setnumblock:4,index:[2,4,5,1],date_sub:2,compar:[5,1],affin:5,cell:2,hourli:2,experiment:[2,4,3,1],isnotnul:2,randomforestclassifi:4,tointern:2,getlearningdecai:4,whatev:2,dense_rank:2,defaultparallel:[5,1],usag:[2,4,5,1],executor:[2,4,1],svmwithsgd:5,len:[2,4,5,1],leo:4,bodi:3,intercept:[4,5],let:[4,5],sink:[2,3],sinh:2,randn:2,stopwordremov:4,sine:2,implicit:[4,5],storagelevel:[2,4,3,5,1],convert:[2,4,3,5,1],convers:[2,4],holger:5,larger:[2,4,5],ctx:1,fmeasur:5,rdd:[0,3,2,5,1],indextostringpath:4,earli:4,hyperparamet:4,numtopfeatur:[4,5],getnumbucket:4,date_add:2,field1:2,getwithmean:4,although:1,scaler:4,claim:2,appli:[2,4,3,5,1],approxim:[2,4,5,1],loadednorm:4,gatewai:1,expect:[2,4,5,1],"boolean":[2,4,5],setprobabilitycol:4,regexp:2,loadedmascal:4,struct2:2,sgd:5,struct1:2,from:[2,4,3,5,1],setdecayfactor:5,zip:[2,5,1],commun:4,chi:[4,5],batchsiz:1,doubl:[2,4],mllib:[0,4,1],isset:4,few:3,lock:1,grouping_id:2,commut:[3,1],sort:[2,4,5,1],freqitem:2,hiveql:2,trait:5,numrow:[4,5],awssecretkei:3,recentprogress:2,backslash:2,setlay:4,trail:2,train:[4,5],rare:4,cstat:5,retriev:[2,4,5],augment:5,scalabl:5,ridg:4,alia:[2,4,1],alic:2,localcheckpoint:1,"1a2s3a":2,outputoperationstart:3,aftsr:4,kolmogorov:5,parquet:[2,5],meet:[2,1],fetch:5,myrdd:1,abcd:2,stopwordsremoverpath:4,malform:2,analysisexcept:2,stringindexermodel:4,oneatatim:3,high:[4,5,1],onlin:[2,4,5],serial:1,tan:2,delai:2,allowunquotedfieldnam:2,grape:1,sit:2,posexplod:2,blockrowindex:5,prevent:5,degre:[2,4,5],developerapi:[4,1],occur:[4,5],receiverstart:3,stkm:5,aft:4,instead:[2,4,5,1],sin:[2,5],sim:5,swedish:4,setregparam:4,ltrim:2,batchcomplet:3,combfunc:1,getstag:4,binaryclassificationmetr:5,pyfil:1,rmtree:5,saveaspicklefil:1,forceindexlabel:4,unitari:4,getstat:4,splitindex:1,quantilediscretizerpath:4,poweriterationclust:5,alloc:[4,5,1],essenti:4,coordinatematrix:5,loglevel:1,counter:1,correspond:[2,4,3,5],element:[2,4,3,5,1],issu:[4,5],agg:2,allow:[2,4,3,5,1],fallback:1,saveasnewapihadoopdataset:1,startswith:2,uiweburl:1,numslic:1,move:[3,5],lz4:2,runjob:1,to_json:2,prefersdecim:2,memory_and_disk:[2,4,1],collect_set:2,variancecol:4,xvarianc:5,lassowithsgd:5,normalvectorrdd:5,outer:[2,3,1],updatestatebykei:3,chosen:[4,1],groupeddata:2,whether:[2,4,5,1],nulldevi:4,decai:[4,5],clusters:4,therefor:5,hoffman:4,forest:[4,5],crossjoin:2,vectorindexermodel:4,crash:2,greater:[2,5,1],nonneg:[4,5],handl:[2,4,5,1],bernoulli:[4,5],unmatch:2,dai:2,intlist:2,lzo:2,trade:5,surviv:4,fromjson:2,orc_df:2,loadedrf:4,auto:[4,5],edit:4,rawpredict:4,localmodel:4,mode:[2,4,5],truth:5,rawpredictioncol:4,asml:5,groupbykeyandwindow:3,subset:[2,4,5,1],awsaccesskeyid:3,linearmodel:5,chunk:4,simpledateformat:2,consum:[2,3,1],meta:3,"static":[2,4,3,5,1],setvocabs:4,sethandleinvalid:4,zipwithindex:1,normalizerpath:4,bay:[4,5],explicit:4,special:[2,4,1],out:[2,4,5,1],variabl:[4,5,1],optimizedocconcentr:4,matrix:[4,5],setmintf:4,defaultvalu:[2,1],distnam:5,getlearningoffset:4,labeledpoint:5,categori:[4,5],typenam:2,var_pop:2,suitabl:2,rel:[2,4,5,1],docconcentr:[4,5],math:5,common:4,shut:1,quarter:2,insid:[2,1],watermark:2,querynam:2,unpars:2,p7c96j6:5,standalon:2,control:[2,4,5,1],dictionari:[2,4,5,1],usual:4,index2:5,index1:5,likelihood:[4,5],pcamodel:4,memory_onli:[3,1],dirichlet:[4,5],mat2:5,mat3:5,mat1:5,unquot:2,could:[2,4,3,5,1],"0x7fdfd7030b18":3,onevsrestmodel:4,shiftleft:2,david:5,isstream:2,stride:2,length:[2,4,3,5,1],streamingqueryexcept:2,outsid:[2,4,3],estimateddocconcentr:4,rankingmetr:5,timezon:2,austin:4,current_d:2,regressionmetr:5,getprobabilitycol:4,trainingsummari:4,suffix:3,shorthand:2,qualiti:5,getpattern:4,date:2,"1e4":2,"1e6":2,redund:2,pivot_col:2,utc:2,prioriti:[4,5,1],"long":[2,3,5,1],dump:1,intention:1,u612:2,unknown:[2,4,5],ryantib:5,mkdir:1,system:[2,3,5,1],messag:[4,3],attach:4,dm3:5,setformula:4,physic:2,termin:[2,4,3,5],registertempt:2,"final":[2,5,1],inner:2,flume:0,exponentialvectorrdd:5,weekofyear:2,getevalu:4,rsd:2,predictionandobserv:5,shallow:4,half_up:2,maxcharspercolumn:2,thresh:2,rtrim:2,exactli:[2,4,5,1],kstest:5,streamnam:3,createexternalt:2,bea:5,saveaslibsvmfil:5,charact:[2,4],setimpur:4,sockettextstream:3,becom:[2,5],randomrdd:5,naivebay:[4,5],"function":[0,4,5,1],loadedcv:4,simplestr:2,convertvectorcolumnstoml:5,cohen:5,timestampformat:2,corrupt:2,have:[2,4,3,5,1],ssc:3,unboundedpreced:2,valuecontainsnul:2,bestmodel:4,setparam:4,smallest:5,min:[2,4,5,1],initstep:4,blei:[4,5],saveashadoopfil:1,linalg:0,startpo:2,accuraci:[4,5,1],mix:4,builtin:2,loadedsqltran:4,writestream:2,which:[2,4,3,5,1],newapihadooprdd:1,zlib:2,singl:[2,4,3,5,1],isloc:2,analysi:2,setifmiss:1,unless:4,setnonneg:4,setnumuserblock:4,getinitmod:4,tapia:5,loadedngram:4,deploi:3,setwithmean:[4,5],histogram:[4,1],cbrt:2,initcap:2,marshal:1,checkcod:1,url:[2,3,1],skinni:5,request:[2,3],uri:[5,1],downweight:4,pipe:1,univari:[4,5],determin:[2,4,5],databas:[2,5],job_to_cancel:1,graphx:1,datafram:[0,4,2,5,1],test_support:2,selectexpr:2,getinputcol:4,millisecond:2,text:[2,4,3,5,1],indextostr:4,connect:[2,3,1],empir:5,mappartitionswithsplit:1,setter:[5,1],cvmodel:4,locat:[2,3,1],nois:5,nfeatur:5,structfield:2,tmptabl:2,jar:1,forev:2,bitwiseand:2,dispers:4,rfr_model:4,won:1,local:[2,4,5,1],irm:5,meant:2,utf8_decod:3,contribut:[4,5],pyspark:0,temp_path:[4,5],chisqtest:5,piecewis:5,nnnnn:1,scoreandlabel:[4,5],parquet_sdf:2,initializationstep:5,setfinalstoragelevel:4,recommendusersforproduct:5,enabl:[2,3],bisect:[4,5],datetyp:2,logisticregressionmodel:[4,5],rint:2,mapfield:2,rootmeansquarederror:[4,5],sha:2,gbt:4,integr:2,partit:[2,4,3,5,1],getthreshold:4,cachet:2,gradientboostedtreesmodel:5,view:2,maxsentencelength:4,crossvalid:4,monotonically_increasing_id:2,frame:2,computecolumnsummarystatist:5,dropglobaltempview:2,computeq:5,temporarili:4,rlike:2,setmetricnam:4,"_jvm":1,isnan:[2,5],still:2,correctli:[2,5],rfc_model:4,boundari:[2,4,5],bias:4,state:[2,3,1],theta:[2,4,5],neither:4,centr:5,setoptim:4,kei:[2,4,3,5,1],linkpredictioncol:4,tempfil:[2,5,1],job:[3,1],entir:[2,4],crc32:2,sdf_schema:2,statcount:1,addit:[2,4,3,5,1],chisqselector:[4,5],registerdataframeast:2,gbtr_model:4,technometr:5,gram:[4,5],equal:[2,4,5],decisiontreeclassificationmodel:4,etc:[2,3,1],eta:[4,5],grain:1,equat:[4,5],mlreader:4,setse:[4,5],mindf:4,comment:2,"9223372036854775807l":2,alsmodel:4,stdev:[5,1],arriv:2,ir_path:4,initializationmod:5,rpc:3,respect:[2,3,5],vocabs:[4,5],withreplac:[2,1],uniformvectorrdd:5,quoteal:2,tolocaliter:[2,1],addition:[2,4],breiman:4,quotat:2,emptyrdd:1,javaload:5,valuedecod:3,compon:[4,5],json:[2,5],treat:[2,4,5],ksmodel:5,getusercol:4,popul:[2,5],dure:[2,4,3,5,1],resolvedrformula:4,logit:4,mike:2,lr2:4,bit:[2,4,5],onreceivererror:3,softpredict:5,decim:2,kafkamessageandmetadata:3,densematrix:[4,5],mininstancespernod:[4,5],delimit:[2,3,5],indeterminist:2,determinist:[2,5],multi:[2,4,1],getorcr:[2,3,1],columnsimilar:5,setfeatureindex:4,align:2,jsqm:2,rectangular:2,precisionbythreshold:4,javaclassnam:2,createorreplacetempview:2,applicationid:1,ir2:4,getmincount:4,layer:[4,1],file:[2,4,3,5,1],helper:[5,1],almost:5,neuron:4,site:2,bigint:2,textfil:[2,1],stageid:1,shuffl:[2,5,1],getrelativeerror:4,tojson:2,awaittermin:[2,3],countbywindow:3,getk:4,hyperloglog:1,getn:4,classpath:2,cross:[2,4],access:[2,3,5,1],text_sdf:2,againt:5,topics_expect:5,getp:4,failur:[4,3,1],trainregressor:5,infer:[2,4,5,1],difficult:4,competit:2,outputformat:1,slave:3,structur:[2,4],col2:2,forgotten:5,setstandard:4,jsparksess:2,pdf:5,expand:[2,4],pull:3,transformfunc:3,off:[2,5,1],center:[4,5],addstreaminglisten:3,whole:2,builder:[2,4],well:[4,5,1],getmindocfreq:4,setk:[4,5],users_for_product:5,exampl:[2,4,5,1],command:[2,1],achiev:[2,4],interpol:5,undefin:[4,5],foreachpartit:[2,1],sort_arrai:2,lognormalrdd:5,test1:4,evaluator2:4,distanc:[2,4,5],getoffset:2,less:[2,4,5],setlearningr:5,converg:[4,5],obtain:[4,5],tcp:3,papadimitri:2,current_timestamp:2,dense1:[4,5],dense3:[4,5],dense2:[4,5],setpercentil:[4,5],unbase64:2,paul:5,multiclass:[4,5],loglikelihood:4,begin:[2,3],generalizedlinearregress:4,gmm:[4,5],field:[2,4],nullabl:2,onoutputoperationstart:3,getal:1,isotonicregressionmodel:[4,5],gleich:5,add:[2,4,3,5,1],getfinalstoragelevel:4,densiti:5,getmax:4,lookup:1,mininfogain:[4,5],receivererror:3,match:[2,4,5,1],knob:5,dtc_model:4,srccol:2,clustercent:[4,5],termindic:4,tospars:[4,5],built:[2,1],valueclass:1,five:2,know:2,parquet_partit:2,"2nd":4,recurs:[2,1],desc:2,samelocalmodel:4,loss:[4,5],like:[2,4,5,1],lost:4,amazonaw:3,windowdur:[2,3],isotonicregress:[4,5],retoken:4,getfeatureindex:4,cutler:4,gm2:4,stringlengthstr:2,soft:5,decis:[4,5],e_max:4,npoint:5,revers:2,gmm_path:4,captur:1,kdd:5,"3bc51062973c458d5a6f2d8d64a023246354ad7e064b1e4e009ec8a0699a3043":2,itemfactor:4,stat:[0,1],glaro:5,accesskeyid:3,allownumericleadingzero:2,diff:2,binaryrecord:1,guarante:[2,4,5,1],peter:2,librari:[2,3,1],tmp:1,"0x7fdfde9f9de8":1,leaf:[4,5],mlp2:4,lead:[2,5],extractparammap:4,sigmoid:4,avoid:[2,1],getkeeplastcheckpoint:4,slide:3,overlap:4,leas:3,mlwriter:4,estim:[4,5,1],leav:2,linearregress:[4,5],leader:3,getnam:[4,5],softmax:[4,5],antiton:5,abcd123:2,ir_model:4,getitem:2,applebi:4,dcg:5,journal:[4,5],toradian:2,host:3,benefit:2,anexponenti:4,offset:[2,3],dct:4,regextokenizerpath:4,stage:[4,1],setdroplast:4,predicton:5,about:[2,4,1],getlinkpredictioncol:4,actual:[2,4,5,1],socket:3,column:[0,4,5,2],freedom:[4,5],chisqtestresult:5,discard:4,predictor:4,numclass:[4,5],own:[2,3],mat_transpos:5,lsdw6p:5,crossvalidatormodel:4,automat:[2,4,1],dataset:[0,4,2,5,1],assess:3,getrank:4,timestamptyp:2,torowmatrix:5,kmeansmodel:[4,5],"56e":5,merg:[2,4,1],next_dai:2,val:2,limit:[2,4,3,1],dm1:5,dm2:5,meanabsoluteerror:[4,5],dm4:5,pool:[4,5,1],arg1:2,loadedbucket:4,log10:2,arg2:2,defaultawscredentialsproviderchain:3,awaitterminationortimeout:3,decisiontreeregressionmodel:4,triangular:5,gaussian:[4,5],neutral:1,gain:[4,5],overflow:2,highest:[4,5],decomp:5,count:[2,4,3,5,1],reducebykei:[3,1],made:[2,1],wise:[2,4,5],temp:2,seqfunc:1,wish:[3,1],smooth:[4,5],trainon:5,maxlocalprojdbs:5,record:[2,3,5,1],below:[2,4,5],structtyp:2,lr_model:4,testfil:1,maxcategori:4,otherwis:[2,4,5,1],problem:[4,5],rdd_a:3,log1p:2,weightedfmeasur:5,fold:[4,1],updatefunc:3,py4jjavaerror:2,"int":[2,4,5,1],samemu:5,pic:5,filenam:1,levenshtein:2,ephemer:1,implement:[2,4,3,5,1],our:[5,1],inf:[2,4,5],replic:1,meth:5,zkquorum:3,probabl:[2,4,5,1],var_samp:2,bzip2:2,getbinari:4,detail:[4,3,5,1],other:[2,4,3,5,1],bool:4,futur:[4,1],rememb:3,lineardatagener:5,tmp2:1,anint:2,logisticregressiontrainingsummari:4,setlosstyp:4,repeat:2,row_numb:2,addgrid:4,shown:2,ndarrai:[4,5],setalpha:4,recommendus:5,generatelinearrdd:5,setsolv:4,stai:2,loadlibsvmfil:5,ababab:2,bce:4,reliabl:[3,1],getforceindexlabel:4,rule:5,inser:1,weightcol:4,rep:2,getsolv:4},objtypes:{"0":"py:module","1":"py:method","2":"py:function","3":"py:classmethod","4":"py:attribute","5":"py:class","6":"py:staticmethod"},objnames:{"0":["py","module","Python module"],"1":["py","method","Python method"],"2":["py","function","Python function"],"3":["py","classmethod","Python class method"],"4":["py","attribute","Python attribute"],"5":["py","class","Python class"],"6":["py","staticmethod","Python static method"]},filenames:["index","pyspark","pyspark.sql","pyspark.streaming","pyspark.ml","pyspark.mllib"],titles:["Welcome to Spark Python API Docs!","pyspark package","pyspark.sql module","pyspark.streaming module","pyspark.ml package","pyspark.mllib package"],objects:{"":{pyspark:[1,0,0,"-"]},"pyspark.sql.DataFrameReader":{load:[2,1,1,""],jdbc:[2,1,1,""],option:[2,1,1,""],format:[2,1,1,""],text:[2,1,1,""],options:[2,1,1,""],json:[2,1,1,""],parquet:[2,1,1,""],table:[2,1,1,""],csv:[2,1,1,""],orc:[2,1,1,""],schema:[2,1,1,""]},"pyspark.ml.feature.RFormulaModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.clustering.LDAModel":{vocabSize:[4,1,1,""],extractParamMap:[4,1,1,""],hasDefault:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],describeTopics:[4,1,1,""],explainParam:[4,1,1,""],isDistributed:[4,1,1,""],topicsMatrix:[4,1,1,""],params:[4,4,1,""],estimatedDocConcentration:[4,1,1,""],logLikelihood:[4,1,1,""],getParam:[4,1,1,""],logPerplexity:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.sql.types.TimestampType":{needConversion:[2,1,1,""],toInternal:[2,1,1,""],fromInternal:[2,1,1,""]},"pyspark.ml.linalg.SparseVector":{toArray:[4,1,1,""],values:[4,4,1,""],dot:[4,1,1,""],indices:[4,4,1,""],squared_distance:[4,1,1,""],numNonzeros:[4,1,1,""],norm:[4,1,1,""],size:[4,4,1,""]},"pyspark.ml.feature.MaxAbsScaler":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.regression.LinearRegressionSummary":{numInstances:[4,4,1,""],predictionCol:[4,4,1,""],r2:[4,4,1,""],meanSquaredError:[4,4,1,""],labelCol:[4,4,1,""],devianceResiduals:[4,4,1,""],featuresCol:[4,4,1,""],predictions:[4,4,1,""],rootMeanSquaredError:[4,4,1,""],tValues:[4,4,1,""],meanAbsoluteError:[4,4,1,""],residuals:[4,4,1,""],coefficientStandardErrors:[4,4,1,""],explainedVariance:[4,4,1,""],pValues:[4,4,1,""]},"pyspark.ml.feature.Word2VecModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],save:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],getVectors:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],findSynonyms:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.sql.SparkSession":{sparkContext:[2,4,1,""],read:[2,4,1,""],createDataFrame:[2,1,1,""],Builder:[2,5,1,""],sql:[2,1,1,""],newSession:[2,1,1,""],catalog:[2,4,1,""],stop:[2,1,1,""],range:[2,1,1,""],version:[2,4,1,""],udf:[2,4,1,""],conf:[2,4,1,""],table:[2,1,1,""],streams:[2,4,1,""],builder:[2,4,1,""],readStream:[2,4,1,""]},"pyspark.mllib.linalg.Vectors":{stringify:[5,6,1,""],dense:[5,6,1,""],fromML:[5,6,1,""],parse:[5,6,1,""],zeros:[5,6,1,""],sparse:[5,6,1,""],squared_distance:[5,6,1,""],norm:[5,6,1,""]},"pyspark.mllib.recommendation.MatrixFactorizationModel":{load:[5,3,1,""],recommendUsersForProducts:[5,1,1,""],userFeatures:[5,1,1,""],rank:[5,4,1,""],productFeatures:[5,1,1,""],recommendUsers:[5,1,1,""],predict:[5,1,1,""],recommendProductsForUsers:[5,1,1,""],recommendProducts:[5,1,1,""],predictAll:[5,1,1,""]},"pyspark.mllib.random.RandomRDDs":{uniformRDD:[5,6,1,""],exponentialVectorRDD:[5,6,1,""],poissonRDD:[5,6,1,""],uniformVectorRDD:[5,6,1,""],logNormalVectorRDD:[5,6,1,""],normalRDD:[5,6,1,""],gammaVectorRDD:[5,6,1,""],gammaRDD:[5,6,1,""],poissonVectorRDD:[5,6,1,""],normalVectorRDD:[5,6,1,""],exponentialRDD:[5,6,1,""],logNormalRDD:[5,6,1,""]},"pyspark.ml.tuning.TrainValidationSplitModel":{getEvaluator:[4,1,1,""],getSeed:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],getParam:[4,1,1,""],setEstimatorParamMaps:[4,1,1,""],getOrDefault:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],params:[4,4,1,""],isSet:[4,1,1,""],estimatorParamMaps:[4,4,1,""],setEvaluator:[4,1,1,""],explainParam:[4,1,1,""],setEstimator:[4,1,1,""],evaluator:[4,4,1,""],copy:[4,1,1,""],validationMetrics:[4,4,1,""],bestModel:[4,4,1,""],getEstimator:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],getEstimatorParamMaps:[4,1,1,""],setSeed:[4,1,1,""],estimator:[4,4,1,""]},"pyspark.sql.HiveContext":{refreshTable:[2,1,1,""]},"pyspark.mllib.util.MLUtils":{convertMatrixColumnsFromML:[5,6,1,""],convertVectorColumnsToML:[5,6,1,""],loadLibSVMFile:[5,6,1,""],loadLabeledPoints:[5,6,1,""],loadVectors:[5,6,1,""],convertVectorColumnsFromML:[5,6,1,""],appendBias:[5,6,1,""],saveAsLibSVMFile:[5,6,1,""],convertMatrixColumnsToML:[5,6,1,""]},"pyspark.ml.tuning.CrossValidatorModel":{getEvaluator:[4,1,1,""],getSeed:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],avgMetrics:[4,4,1,""],getParam:[4,1,1,""],setEstimatorParamMaps:[4,1,1,""],evaluator:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],params:[4,4,1,""],getEstimatorParamMaps:[4,1,1,""],estimatorParamMaps:[4,4,1,""],setEvaluator:[4,1,1,""],bestModel:[4,4,1,""],setEstimator:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParam:[4,1,1,""],getEstimator:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],isSet:[4,1,1,""],setSeed:[4,1,1,""],estimator:[4,4,1,""]},"pyspark.mllib.fpm.FPGrowth":{train:[5,3,1,""],FreqItemset:[5,5,1,""]},"pyspark.mllib.stat.ChiSqTestResult":{method:[5,4,1,""]},"pyspark.ml.clustering.BisectingKMeansSummary":{predictionCol:[4,4,1,""],k:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],cluster:[4,4,1,""],clusterSizes:[4,4,1,""]},"pyspark.ml.evaluation.MulticlassClassificationEvaluator":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],setMetricName:[4,1,1,""],setParams:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMetricName:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],isLargerBetter:[4,1,1,""],metricName:[4,4,1,""]},"pyspark.mllib.regression.LinearRegressionWithSGD":{train:[5,3,1,""]},"pyspark.ml.Transformer":{extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.sql":{DataFrameStatFunctions:[2,5,1,""],functions:[2,0,0,"-"],UDFRegistration:[2,5,1,""],Column:[2,5,1,""],SparkSession:[2,5,1,""],GroupedData:[2,5,1,""],DataFrame:[2,5,1,""],DataFrameNaFunctions:[2,5,1,""],DataFrameWriter:[2,5,1,""],streaming:[2,0,0,"-"],Window:[2,5,1,""],HiveContext:[2,5,1,""],Row:[2,5,1,""],SQLContext:[2,5,1,""],DataFrameReader:[2,5,1,""],types:[2,0,0,"-"],WindowSpec:[2,5,1,""]},"pyspark.Accumulator":{add:[1,1,1,""],value:[1,4,1,""]},"pyspark.ml.feature.MinMaxScaler":{load:[4,3,1,""],setMin:[4,1,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getMin:[4,1,1,""],getParam:[4,1,1,""],getMax:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],setMax:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],max:[4,4,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],min:[4,4,1,""]},"pyspark.mllib.evaluation.RankingMetrics":{precisionAt:[5,1,1,""],meanAveragePrecision:[5,4,1,""],ndcgAt:[5,1,1,""]},"pyspark.mllib.regression.LassoWithSGD":{train:[5,3,1,""]},"pyspark.ml.regression.LinearRegressionTrainingSummary":{numInstances:[4,4,1,""],pValues:[4,4,1,""],predictionCol:[4,4,1,""],labelCol:[4,4,1,""],residuals:[4,4,1,""],devianceResiduals:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],rootMeanSquaredError:[4,4,1,""],tValues:[4,4,1,""],meanSquaredError:[4,4,1,""],meanAbsoluteError:[4,4,1,""],totalIterations:[4,4,1,""],r2:[4,4,1,""],coefficientStandardErrors:[4,4,1,""],explainedVariance:[4,4,1,""],objectiveHistory:[4,4,1,""]},"pyspark.mllib.stat":{MultivariateStatisticalSummary:[5,5,1,""],Statistics:[5,5,1,""],KernelDensity:[5,5,1,""],MultivariateGaussian:[5,5,1,""],ChiSqTestResult:[5,5,1,""]},"pyspark.sql.Row":{asDict:[2,1,1,""]},"pyspark.mllib.linalg.distributed.CoordinateMatrix":{toBlockMatrix:[5,1,1,""],entries:[5,4,1,""],transpose:[5,1,1,""],numRows:[5,1,1,""],toRowMatrix:[5,1,1,""],toIndexedRowMatrix:[5,1,1,""],numCols:[5,1,1,""]},"pyspark.mllib.regression":{LinearModel:[5,5,1,""],RidgeRegressionWithSGD:[5,5,1,""],LinearRegressionWithSGD:[5,5,1,""],RidgeRegressionModel:[5,5,1,""],IsotonicRegression:[5,5,1,""],IsotonicRegressionModel:[5,5,1,""],LabeledPoint:[5,5,1,""],LassoModel:[5,5,1,""],LinearRegressionModel:[5,5,1,""],StreamingLinearRegressionWithSGD:[5,5,1,""],LassoWithSGD:[5,5,1,""],StreamingLinearAlgorithm:[5,5,1,""]},"pyspark.sql.DataFrameStatFunctions":{crosstab:[2,1,1,""],sampleBy:[2,1,1,""],cov:[2,1,1,""],approxQuantile:[2,1,1,""],corr:[2,1,1,""],freqItems:[2,1,1,""]},"pyspark.sql.functions":{unhex:[2,2,1,""],rand:[2,2,1,""],signum:[2,2,1,""],countDistinct:[2,2,1,""],last_day:[2,2,1,""],to_json:[2,2,1,""],stddev_pop:[2,2,1,""],current_timestamp:[2,2,1,""],unbase64:[2,2,1,""],from_unixtime:[2,2,1,""],randn:[2,2,1,""],struct:[2,2,1,""],base64:[2,2,1,""],shiftRight:[2,2,1,""],window:[2,2,1,""],degrees:[2,2,1,""],cbrt:[2,2,1,""],md5:[2,2,1,""],bin:[2,2,1,""],factorial:[2,2,1,""],format_number:[2,2,1,""],bitwiseNOT:[2,2,1,""],json_tuple:[2,2,1,""],to_date:[2,2,1,""],month:[2,2,1,""],minute:[2,2,1,""],desc:[2,2,1,""],lpad:[2,2,1,""],regexp_extract:[2,2,1,""],collect_list:[2,2,1,""],concat_ws:[2,2,1,""],radians:[2,2,1,""],array_contains:[2,2,1,""],explode:[2,2,1,""],add_months:[2,2,1,""],stddev:[2,2,1,""],quarter:[2,2,1,""],pow:[2,2,1,""],round:[2,2,1,""],mean:[2,2,1,""],from_utc_timestamp:[2,2,1,""],upper:[2,2,1,""],sumDistinct:[2,2,1,""],posexplode:[2,2,1,""],second:[2,2,1,""],hypot:[2,2,1,""],spark_partition_id:[2,2,1,""],year:[2,2,1,""],nanvl:[2,2,1,""],dense_rank:[2,2,1,""],create_map:[2,2,1,""],asin:[2,2,1,""],isnan:[2,2,1,""],date_sub:[2,2,1,""],bround:[2,2,1,""],months_between:[2,2,1,""],lead:[2,2,1,""],sum:[2,2,1,""],abs:[2,2,1,""],var_pop:[2,2,1,""],size:[2,2,1,""],row_number:[2,2,1,""],locate:[2,2,1,""],log2:[2,2,1,""],asc:[2,2,1,""],initcap:[2,2,1,""],sinh:[2,2,1,""],substring_index:[2,2,1,""],crc32:[2,2,1,""],trunc:[2,2,1,""],expm1:[2,2,1,""],last:[2,2,1,""],reverse:[2,2,1,""],column:[2,2,1,""],approx_count_distinct:[2,2,1,""],variance:[2,2,1,""],acos:[2,2,1,""],grouping:[2,2,1,""],col:[2,2,1,""],first:[2,2,1,""],trim:[2,2,1,""],collect_set:[2,2,1,""],corr:[2,2,1,""],instr:[2,2,1,""],regexp_replace:[2,2,1,""],rint:[2,2,1,""],monotonically_increasing_id:[2,2,1,""],rank:[2,2,1,""],isnull:[2,2,1,""],covar_samp:[2,2,1,""],toRadians:[2,2,1,""],array:[2,2,1,""],toDegrees:[2,2,1,""],next_day:[2,2,1,""],log:[2,2,1,""],hex:[2,2,1,""],least:[2,2,1,""],stddev_samp:[2,2,1,""],decode:[2,2,1,""],coalesce:[2,2,1,""],dayofyear:[2,2,1,""],input_file_name:[2,2,1,""],encode:[2,2,1,""],unix_timestamp:[2,2,1,""],grouping_id:[2,2,1,""],translate:[2,2,1,""],log10:[2,2,1,""],skewness:[2,2,1,""],weekofyear:[2,2,1,""],cos:[2,2,1,""],shiftLeft:[2,2,1,""],broadcast:[2,2,1,""],date_add:[2,2,1,""],udf:[2,2,1,""],rtrim:[2,2,1,""],get_json_object:[2,2,1,""],cosh:[2,2,1,""],kurtosis:[2,2,1,""],ntile:[2,2,1,""],count:[2,2,1,""],date_format:[2,2,1,""],covar_pop:[2,2,1,""],hour:[2,2,1,""],tanh:[2,2,1,""],expr:[2,2,1,""],log1p:[2,2,1,""],from_json:[2,2,1,""],hash:[2,2,1,""],conv:[2,2,1,""],percent_rank:[2,2,1,""],levenshtein:[2,2,1,""],substring:[2,2,1,""],rpad:[2,2,1,""],tan:[2,2,1,""],avg:[2,2,1,""],ascii:[2,2,1,""],var_samp:[2,2,1,""],floor:[2,2,1,""],format_string:[2,2,1,""],when:[2,2,1,""],length:[2,2,1,""],sqrt:[2,2,1,""],lit:[2,2,1,""],current_date:[2,2,1,""],split:[2,2,1,""],datediff:[2,2,1,""],sin:[2,2,1,""],repeat:[2,2,1,""],ltrim:[2,2,1,""],atan:[2,2,1,""],max:[2,2,1,""],lag:[2,2,1,""],cume_dist:[2,2,1,""],shiftRightUnsigned:[2,2,1,""],approxCountDistinct:[2,2,1,""],to_utc_timestamp:[2,2,1,""],ceil:[2,2,1,""],concat:[2,2,1,""],dayofmonth:[2,2,1,""],sha2:[2,2,1,""],soundex:[2,2,1,""],lower:[2,2,1,""],sha1:[2,2,1,""],min:[2,2,1,""],sort_array:[2,2,1,""],atan2:[2,2,1,""],greatest:[2,2,1,""],exp:[2,2,1,""]},"pyspark.sql.streaming.DataStreamWriter":{outputMode:[2,1,1,""],option:[2,1,1,""],format:[2,1,1,""],queryName:[2,1,1,""],start:[2,1,1,""],trigger:[2,1,1,""],options:[2,1,1,""],partitionBy:[2,1,1,""]},"pyspark.ml.feature.VectorIndexerModel":{load:[4,3,1,""],categoryMaps:[4,4,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],numFeatures:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.feature.ChiSqSelector":{setSelectorType:[5,1,1,""],setFpr:[5,1,1,""],setPercentile:[5,1,1,""],setNumTopFeatures:[5,1,1,""],fit:[5,1,1,""]},"pyspark.mllib.regression.RidgeRegressionModel":{load:[5,3,1,""],predict:[5,1,1,""],intercept:[5,4,1,""],weights:[5,4,1,""],save:[5,1,1,""]},"pyspark.mllib.feature.Word2VecModel":{load:[5,3,1,""],getVectors:[5,1,1,""],findSynonyms:[5,1,1,""],transform:[5,1,1,""]},"pyspark.ml.feature.IndexToString":{load:[4,3,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],labels:[4,4,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],getLabels:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setLabels:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.feature.Tokenizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.classification.GBTClassificationModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],treeWeights:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],toDebugString:[4,4,1,""],featureImportances:[4,4,1,""],trees:[4,4,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],totalNumNodes:[4,4,1,""],getNumTrees:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],numFeatures:[4,4,1,""]},"pyspark.mllib.linalg.QRDecomposition":{Q:[5,4,1,""],R:[5,4,1,""]},"pyspark.mllib.linalg.distributed.BlockMatrix":{numRows:[5,1,1,""],numRowBlocks:[5,4,1,""],cache:[5,1,1,""],toCoordinateMatrix:[5,1,1,""],persist:[5,1,1,""],toIndexedRowMatrix:[5,1,1,""],transpose:[5,1,1,""],numColBlocks:[5,4,1,""],add:[5,1,1,""],rowsPerBlock:[5,4,1,""],colsPerBlock:[5,4,1,""],multiply:[5,1,1,""],blocks:[5,4,1,""],toLocalMatrix:[5,1,1,""],subtract:[5,1,1,""],validate:[5,1,1,""],numCols:[5,1,1,""]},pyspark:{SparkContext:[1,5,1,""],SparkFiles:[1,5,1,""],SparkJobInfo:[1,5,1,""],AccumulatorParam:[1,5,1,""],Accumulator:[1,5,1,""],ml:[4,0,0,"-"],PickleSerializer:[1,5,1,""],MarshalSerializer:[1,5,1,""],Broadcast:[1,5,1,""],streaming:[3,0,0,"-"],StatusTracker:[1,5,1,""],BasicProfiler:[1,5,1,""],sql:[2,0,0,"-"],SparkStageInfo:[1,5,1,""],Profiler:[1,5,1,""],SparkConf:[1,5,1,""],RDD:[1,5,1,""],StorageLevel:[1,5,1,""]},"pyspark.sql.types.StructField":{jsonValue:[2,1,1,""],needConversion:[2,1,1,""],simpleString:[2,1,1,""],toInternal:[2,1,1,""],fromInternal:[2,1,1,""],fromJson:[2,3,1,""]},"pyspark.mllib.util":{JavaSaveable:[5,5,1,""],Saveable:[5,5,1,""],MLUtils:[5,5,1,""],Loader:[5,5,1,""],JavaLoader:[5,5,1,""],LinearDataGenerator:[5,5,1,""]},"pyspark.streaming":{flume:[3,0,0,"-"],kinesis:[3,0,0,"-"],kafka:[3,0,0,"-"],StreamingListener:[3,5,1,""],StreamingContext:[3,5,1,""],DStream:[3,5,1,""]},"pyspark.ml.linalg.Matrices":{dense:[4,6,1,""],sparse:[4,6,1,""]},"pyspark.mllib.linalg.SparseVector":{toArray:[5,1,1,""],asML:[5,1,1,""],parse:[5,6,1,""],values:[5,4,1,""],dot:[5,1,1,""],indices:[5,4,1,""],squared_distance:[5,1,1,""],numNonzeros:[5,1,1,""],norm:[5,1,1,""],size:[5,4,1,""]},"pyspark.BasicProfiler":{profile:[1,1,1,""],stats:[1,1,1,""]},"pyspark.ml":{clustering:[4,0,0,"-"],Pipeline:[4,5,1,""],PipelineModel:[4,5,1,""],tuning:[4,0,0,"-"],classification:[4,0,0,"-"],linalg:[4,0,0,"-"],Transformer:[4,5,1,""],feature:[4,0,0,"-"],param:[4,0,0,"-"],Estimator:[4,5,1,""],recommendation:[4,0,0,"-"],Model:[4,5,1,""],evaluation:[4,0,0,"-"],regression:[4,0,0,"-"]},"pyspark.ml.tuning.CrossValidator":{getEvaluator:[4,1,1,""],getSeed:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],getParam:[4,1,1,""],setEstimatorParamMaps:[4,1,1,""],setParams:[4,1,1,""],getOrDefault:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],numFolds:[4,4,1,""],params:[4,4,1,""],isSet:[4,1,1,""],estimatorParamMaps:[4,4,1,""],setEvaluator:[4,1,1,""],explainParam:[4,1,1,""],setEstimator:[4,1,1,""],setNumFolds:[4,1,1,""],evaluator:[4,4,1,""],copy:[4,1,1,""],getEstimator:[4,1,1,""],getNumFolds:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],getEstimatorParamMaps:[4,1,1,""],setSeed:[4,1,1,""],estimator:[4,4,1,""]},"pyspark.sql.GroupedData":{count:[2,1,1,""],min:[2,1,1,""],agg:[2,1,1,""],max:[2,1,1,""],sum:[2,1,1,""],pivot:[2,1,1,""],avg:[2,1,1,""],mean:[2,1,1,""]},"pyspark.mllib.classification.NaiveBayes":{train:[5,3,1,""]},"pyspark.sql.UDFRegistration":{register:[2,1,1,""]},"pyspark.ml.feature.NGram":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],getN:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],setN:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],n:[4,4,1,""]},"pyspark.StatusTracker":{getActiveJobsIds:[1,1,1,""],getStageInfo:[1,1,1,""],getJobInfo:[1,1,1,""],getJobIdsForGroup:[1,1,1,""],getActiveStageIds:[1,1,1,""]},"pyspark.mllib.tree":{RandomForestModel:[5,5,1,""],RandomForest:[5,5,1,""],GradientBoostedTrees:[5,5,1,""],DecisionTree:[5,5,1,""],DecisionTreeModel:[5,5,1,""],GradientBoostedTreesModel:[5,5,1,""]},"pyspark.ml.regression.AFTSurvivalRegressionModel":{load:[4,3,1,""],write:[4,1,1,""],scale:[4,4,1,""],transform:[4,1,1,""],save:[4,1,1,""],extractParamMap:[4,1,1,""],predict:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],predictQuantiles:[4,1,1,""],explainParam:[4,1,1,""],read:[4,3,1,""],intercept:[4,4,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""],coefficients:[4,4,1,""]},"pyspark.SparkConf":{setIfMissing:[1,1,1,""],set:[1,1,1,""],setAll:[1,1,1,""],toDebugString:[1,1,1,""],get:[1,1,1,""],getAll:[1,1,1,""],contains:[1,1,1,""],setMaster:[1,1,1,""],setExecutorEnv:[1,1,1,""],setSparkHome:[1,1,1,""],setAppName:[1,1,1,""]},"pyspark.ml.classification.OneVsRest":{load:[4,3,1,""],hasDefault:[4,1,1,""],getClassifier:[4,1,1,""],getParam:[4,1,1,""],setParams:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setFeaturesCol:[4,1,1,""],read:[4,3,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setClassifier:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],classifier:[4,4,1,""]},"pyspark.sql.Column":{over:[2,1,1,""],substr:[2,1,1,""],endswith:[2,1,1,""],rlike:[2,1,1,""],isNull:[2,1,1,""],when:[2,1,1,""],astype:[2,1,1,""],between:[2,1,1,""],desc:[2,1,1,""],startswith:[2,1,1,""],bitwiseXOR:[2,1,1,""],bitwiseAND:[2,1,1,""],asc:[2,1,1,""],alias:[2,1,1,""],getItem:[2,1,1,""],name:[2,1,1,""],like:[2,1,1,""],bitwiseOR:[2,1,1,""],getField:[2,1,1,""],cast:[2,1,1,""],isNotNull:[2,1,1,""],isin:[2,1,1,""],otherwise:[2,1,1,""]},"pyspark.ml.linalg.DenseMatrix":{toArray:[4,1,1,""],toSparse:[4,1,1,""]},"pyspark.sql.types.ShortType":{simpleString:[2,1,1,""]},"pyspark.ml.feature.DCT":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],setInverse:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],inverse:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getInverse:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.regression.IsotonicRegressionModel":{load:[4,3,1,""],boundaries:[4,4,1,""],copy:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],predictions:[4,4,1,""],write:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.streaming.flume":{FlumeUtils:[3,5,1,""],utf8_decoder:[3,2,1,""]},"pyspark.ml.feature.OneHotEncoder":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getDropLast:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],dropLast:[4,4,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setDropLast:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.sql.streaming":{DataStreamReader:[2,5,1,""],StreamingQuery:[2,5,1,""],StreamingQueryManager:[2,5,1,""],DataStreamWriter:[2,5,1,""]},"pyspark.ml.feature.StopWordsRemover":{load:[4,3,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],caseSensitive:[4,4,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],getCaseSensitive:[4,1,1,""],setCaseSensitive:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],getStopWords:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],stopWords:[4,4,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],loadDefaultStopWords:[4,6,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],setStopWords:[4,1,1,""]},"pyspark.ml.clustering.KMeans":{load:[4,3,1,""],getK:[4,1,1,""],getSeed:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setTol:[4,1,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],getFeaturesCol:[4,1,1,""],initMode:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],setInitMode:[4,1,1,""],getInitSteps:[4,1,1,""],params:[4,4,1,""],tol:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],getInitMode:[4,1,1,""],isSet:[4,1,1,""],getTol:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],setK:[4,1,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],initSteps:[4,4,1,""],setInitSteps:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],seed:[4,4,1,""],k:[4,4,1,""],getMaxIter:[4,1,1,""]},"pyspark.mllib.clustering.LDA":{train:[5,3,1,""]},"pyspark.ml.clustering.LocalLDAModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],logPerplexity:[4,1,1,""],extractParamMap:[4,1,1,""],vocabSize:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],isDistributed:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],describeTopics:[4,1,1,""],topicsMatrix:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],logLikelihood:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],isSet:[4,1,1,""],estimatedDocConcentration:[4,1,1,""]},"pyspark.streaming.kinesis.InitialPositionInStream":{TRIM_HORIZON:[3,4,1,""],LATEST:[3,4,1,""]},"pyspark.mllib.stat.KernelDensity":{estimate:[5,1,1,""],setSample:[5,1,1,""],setBandwidth:[5,1,1,""]},"pyspark.mllib.feature.StandardScaler":{fit:[5,1,1,""]},"pyspark.mllib.linalg.DenseMatrix":{toArray:[5,1,1,""],toSparse:[5,1,1,""],asML:[5,1,1,""]},"pyspark.mllib.feature.IDF":{fit:[5,1,1,""]},"pyspark.ml.clustering.GaussianMixtureModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],explainParam:[4,1,1,""],isSet:[4,1,1,""],hasSummary:[4,4,1,""],hasDefault:[4,1,1,""],weights:[4,4,1,""],getParam:[4,1,1,""],params:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],gaussiansDF:[4,4,1,""]},"pyspark.mllib.evaluation.RegressionMetrics":{rootMeanSquaredError:[5,4,1,""],explainedVariance:[5,4,1,""],meanAbsoluteError:[5,4,1,""],meanSquaredError:[5,4,1,""],r2:[5,4,1,""]},"pyspark.ml.linalg.Vector":{toArray:[4,1,1,""]},"pyspark.ml.feature.CountVectorizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],setBinary:[4,1,1,""],getMinDF:[4,1,1,""],setMinDF:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],getBinary:[4,1,1,""],binary:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],vocabSize:[4,4,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],minDF:[4,4,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],setMinTF:[4,1,1,""],read:[4,3,1,""],setVocabSize:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getMinTF:[4,1,1,""],save:[4,1,1,""],explainParams:[4,1,1,""],minTF:[4,4,1,""],isDefined:[4,1,1,""],hasParam:[4,1,1,""],getVocabSize:[4,1,1,""]},"pyspark.mllib.feature.ChiSqSelectorModel":{transform:[5,1,1,""]},"pyspark.mllib.linalg.distributed.DistributedMatrix":{numRows:[5,1,1,""],numCols:[5,1,1,""]},"pyspark.mllib.util.Saveable":{save:[5,1,1,""]},"pyspark.mllib.stat.MultivariateStatisticalSummary":{count:[5,1,1,""],min:[5,1,1,""],max:[5,1,1,""],normL1:[5,1,1,""],normL2:[5,1,1,""],variance:[5,1,1,""],numNonzeros:[5,1,1,""],mean:[5,1,1,""]},"pyspark.Profiler":{profile:[1,1,1,""],stats:[1,1,1,""],dump:[1,1,1,""],show:[1,1,1,""]},"pyspark.ml.classification.NaiveBayesModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],hasParam:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],getParam:[4,1,1,""],transform:[4,1,1,""],numClasses:[4,4,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],isDefined:[4,1,1,""],numFeatures:[4,4,1,""],theta:[4,4,1,""],pi:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.regression.RidgeRegressionWithSGD":{train:[5,3,1,""]},"pyspark.ml.recommendation":{ALSModel:[4,5,1,""],ALS:[4,5,1,""]},"pyspark.ml.param.TypeConverters":{toList:[4,6,1,""],toListFloat:[4,6,1,""],toInt:[4,6,1,""],toFloat:[4,6,1,""],toListInt:[4,6,1,""],toString:[4,6,1,""],toBoolean:[4,6,1,""],toListString:[4,6,1,""],toVector:[4,6,1,""],identity:[4,6,1,""]},"pyspark.mllib.tree.RandomForestModel":{load:[5,3,1,""],totalNumNodes:[5,1,1,""],predict:[5,1,1,""],toDebugString:[5,1,1,""],numTrees:[5,1,1,""],call:[5,1,1,""],save:[5,1,1,""]},"pyspark.ml.feature.QuantileDiscretizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setNumBuckets:[4,1,1,""],isDefined:[4,1,1,""],setHandleInvalid:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],setRelativeError:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],getHandleInvalid:[4,1,1,""],read:[4,3,1,""],getNumBuckets:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],relativeError:[4,4,1,""],handleInvalid:[4,4,1,""],hasParam:[4,1,1,""],getRelativeError:[4,1,1,""],numBuckets:[4,4,1,""],explainParams:[4,1,1,""]},"pyspark.ml.classification.DecisionTreeClassificationModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],numNodes:[4,4,1,""],numClasses:[4,4,1,""],getParam:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],toDebugString:[4,4,1,""],featureImportances:[4,4,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],depth:[4,4,1,""],numFeatures:[4,4,1,""]},"pyspark.ml.regression.IsotonicRegression":{load:[4,3,1,""],getIsotonic:[4,1,1,""],hasParam:[4,1,1,""],featureIndex:[4,4,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],setParams:[4,1,1,""],setIsotonic:[4,1,1,""],setPredictionCol:[4,1,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],setFeatureIndex:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],getFeatureIndex:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],isotonic:[4,4,1,""],setFeaturesCol:[4,1,1,""],read:[4,3,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],weightCol:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],predictionCol:[4,4,1,""],explainParams:[4,1,1,""],extractParamMap:[4,1,1,""],isDefined:[4,1,1,""],setWeightCol:[4,1,1,""],getWeightCol:[4,1,1,""]},"pyspark.streaming.kafka.KafkaUtils":{createStream:[3,6,1,""],createDirectStream:[3,6,1,""],createRDD:[3,6,1,""]},"pyspark.ml.regression.GeneralizedLinearRegressionSummary":{residualDegreeOfFreedomNull:[4,4,1,""],predictionCol:[4,4,1,""],deviance:[4,4,1,""],predictions:[4,4,1,""],rank:[4,4,1,""],dispersion:[4,4,1,""],residuals:[4,1,1,""],residualDegreeOfFreedom:[4,4,1,""],degreesOfFreedom:[4,4,1,""],nullDeviance:[4,4,1,""],aic:[4,4,1,""]},"pyspark.mllib.clustering.StreamingKMeans":{predictOn:[5,1,1,""],setHalfLife:[5,1,1,""],predictOnValues:[5,1,1,""],trainOn:[5,1,1,""],setK:[5,1,1,""],latestModel:[5,1,1,""],setDecayFactor:[5,1,1,""],setRandomCenters:[5,1,1,""],setInitialCenters:[5,1,1,""]},"pyspark.ml.feature.CountVectorizerModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],vocabulary:[4,4,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.util.JavaLoader":{load:[5,3,1,""]},"pyspark.ml.Model":{extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.clustering.BisectingKMeansModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],hasSummary:[4,4,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],explainParam:[4,1,1,""],hasDefault:[4,1,1,""],params:[4,4,1,""],getOrDefault:[4,1,1,""],getParam:[4,1,1,""],clusterCenters:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],explainParams:[4,1,1,""],computeCost:[4,1,1,""]},"pyspark.mllib.feature.ElementwiseProduct":{transform:[5,1,1,""]},"pyspark.ml.regression.DecisionTreeRegressionModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],isSet:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],numNodes:[4,4,1,""],depth:[4,4,1,""],params:[4,4,1,""],numFeatures:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],featureImportances:[4,4,1,""],toDebugString:[4,4,1,""]},"pyspark.mllib.classification.SVMWithSGD":{train:[5,3,1,""]},"pyspark.streaming.kafka":{utf8_decoder:[3,2,1,""],KafkaUtils:[3,5,1,""],Broker:[3,5,1,""],KafkaMessageAndMetadata:[3,5,1,""],OffsetRange:[3,5,1,""],TopicAndPartition:[3,5,1,""]},"pyspark.mllib.feature.StandardScalerModel":{std:[5,4,1,""],setWithStd:[5,1,1,""],withStd:[5,4,1,""],transform:[5,1,1,""],setWithMean:[5,1,1,""],withMean:[5,4,1,""],mean:[5,4,1,""]},"pyspark.ml.classification.LogisticRegressionModel":{load:[4,3,1,""],interceptVector:[4,4,1,""],hasSummary:[4,4,1,""],hasDefault:[4,1,1,""],numClasses:[4,4,1,""],getParam:[4,1,1,""],extractParamMap:[4,1,1,""],coefficientMatrix:[4,4,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],explainParam:[4,1,1,""],intercept:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],coefficients:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],numFeatures:[4,4,1,""]},"pyspark.mllib.clustering.StreamingKMeansModel":{update:[5,1,1,""],clusterWeights:[5,4,1,""]},"pyspark.mllib.fpm.PrefixSpanModel":{freqSequences:[5,1,1,""]},"pyspark.streaming.StreamingContext":{sparkContext:[3,4,1,""],getOrCreate:[3,3,1,""],stop:[3,1,1,""],awaitTerminationOrTimeout:[3,1,1,""],socketTextStream:[3,1,1,""],addStreamingListener:[3,1,1,""],union:[3,1,1,""],awaitTermination:[3,1,1,""],binaryRecordsStream:[3,1,1,""],transform:[3,1,1,""],getActiveOrCreate:[3,3,1,""],checkpoint:[3,1,1,""],getActive:[3,3,1,""],textFileStream:[3,1,1,""],start:[3,1,1,""],queueStream:[3,1,1,""],remember:[3,1,1,""]},"pyspark.mllib.linalg.SparseMatrix":{toArray:[5,1,1,""],toDense:[5,1,1,""],asML:[5,1,1,""]},"pyspark.ml.regression.AFTSurvivalRegression":{load:[4,3,1,""],setFitIntercept:[4,1,1,""],getQuantileProbabilities:[4,1,1,""],copy:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setTol:[4,1,1,""],getAggregationDepth:[4,1,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],getQuantilesCol:[4,1,1,""],setPredictionCol:[4,1,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],tol:[4,4,1,""],fitIntercept:[4,4,1,""],quantilesCol:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setFeaturesCol:[4,1,1,""],read:[4,3,1,""],aggregationDepth:[4,4,1,""],getLabelCol:[4,1,1,""],censorCol:[4,4,1,""],getFitIntercept:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getCensorCol:[4,1,1,""],quantileProbabilities:[4,4,1,""],getOrDefault:[4,1,1,""],setQuantilesCol:[4,1,1,""],getTol:[4,1,1,""],predictionCol:[4,4,1,""],setCensorCol:[4,1,1,""],extractParamMap:[4,1,1,""],setAggregationDepth:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setQuantileProbabilities:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.mllib.clustering.BisectingKMeans":{train:[5,3,1,""]},"pyspark.sql.types.DecimalType":{jsonValue:[2,1,1,""],simpleString:[2,1,1,""]},"pyspark.ml.feature.ChiSqSelector":{load:[4,3,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],setFpr:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],getSelectorType:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],write:[4,1,1,""],selectorType:[4,4,1,""],setPercentile:[4,1,1,""],fpr:[4,4,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getFpr:[4,1,1,""],setOutputCol:[4,1,1,""],getNumTopFeatures:[4,1,1,""],getLabelCol:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],setFeaturesCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],percentile:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setNumTopFeatures:[4,1,1,""],setSelectorType:[4,1,1,""],numTopFeatures:[4,4,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],getPercentile:[4,1,1,""]},"pyspark.mllib.clustering.GaussianMixture":{train:[5,3,1,""]},"pyspark.ml.regression":{AFTSurvivalRegressionModel:[4,5,1,""],IsotonicRegression:[4,5,1,""],LinearRegressionSummary:[4,5,1,""],GeneralizedLinearRegressionTrainingSummary:[4,5,1,""],GeneralizedLinearRegressionModel:[4,5,1,""],IsotonicRegressionModel:[4,5,1,""],GeneralizedLinearRegressionSummary:[4,5,1,""],RandomForestRegressor:[4,5,1,""],RandomForestRegressionModel:[4,5,1,""],LinearRegression:[4,5,1,""],GeneralizedLinearRegression:[4,5,1,""],LinearRegressionModel:[4,5,1,""],GBTRegressionModel:[4,5,1,""],LinearRegressionTrainingSummary:[4,5,1,""],DecisionTreeRegressor:[4,5,1,""],AFTSurvivalRegression:[4,5,1,""],DecisionTreeRegressionModel:[4,5,1,""],GBTRegressor:[4,5,1,""]},"pyspark.ml.classification.LogisticRegression":{getProbabilityCol:[4,1,1,""],load:[4,3,1,""],setRegParam:[4,1,1,""],hasParam:[4,1,1,""],getFamily:[4,1,1,""],family:[4,4,1,""],thresholds:[4,4,1,""],maxIter:[4,4,1,""],hasDefault:[4,1,1,""],setTol:[4,1,1,""],featuresCol:[4,4,1,""],getParam:[4,1,1,""],threshold:[4,4,1,""],setRawPredictionCol:[4,1,1,""],setParams:[4,1,1,""],getRegParam:[4,1,1,""],copy:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],getStandardization:[4,1,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],getRawPredictionCol:[4,1,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],aggregationDepth:[4,4,1,""],params:[4,4,1,""],tol:[4,4,1,""],getThreshold:[4,1,1,""],rawPredictionCol:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setFeaturesCol:[4,1,1,""],setPredictionCol:[4,1,1,""],getTol:[4,1,1,""],read:[4,3,1,""],fitIntercept:[4,4,1,""],getLabelCol:[4,1,1,""],getFitIntercept:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getElasticNetParam:[4,1,1,""],setProbabilityCol:[4,1,1,""],weightCol:[4,4,1,""],getOrDefault:[4,1,1,""],setStandardization:[4,1,1,""],isDefined:[4,1,1,""],setElasticNetParam:[4,1,1,""],regParam:[4,4,1,""],elasticNetParam:[4,4,1,""],predictionCol:[4,4,1,""],standardization:[4,4,1,""],setFamily:[4,1,1,""],setAggregationDepth:[4,1,1,""],getFeaturesCol:[4,1,1,""],setThresholds:[4,1,1,""],getAggregationDepth:[4,1,1,""],setThreshold:[4,1,1,""],getThresholds:[4,1,1,""],setWeightCol:[4,1,1,""],getWeightCol:[4,1,1,""],setFitIntercept:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.sql.DataFrame":{orderBy:[2,1,1,""],schema:[2,4,1,""],checkpoint:[2,1,1,""],show:[2,1,1,""],withColumn:[2,1,1,""],rdd:[2,4,1,""],repartition:[2,1,1,""],coalesce:[2,1,1,""],dropna:[2,1,1,""],replace:[2,1,1,""],sample:[2,1,1,""],printSchema:[2,1,1,""],createGlobalTempView:[2,1,1,""],withColumnRenamed:[2,1,1,""],toJSON:[2,1,1,""],toPandas:[2,1,1,""],groupBy:[2,1,1,""],select:[2,1,1,""],crossJoin:[2,1,1,""],isLocal:[2,1,1,""],collect:[2,1,1,""],distinct:[2,1,1,""],na:[2,4,1,""],explain:[2,1,1,""],cache:[2,1,1,""],rollup:[2,1,1,""],toLocalIterator:[2,1,1,""],drop_duplicates:[2,1,1,""],write:[2,4,1,""],approxQuantile:[2,1,1,""],createOrReplaceTempView:[2,1,1,""],foreachPartition:[2,1,1,""],unionAll:[2,1,1,""],intersect:[2,1,1,""],persist:[2,1,1,""],freqItems:[2,1,1,""],storageLevel:[2,4,1,""],columns:[2,4,1,""],take:[2,1,1,""],sort:[2,1,1,""],cube:[2,1,1,""],describe:[2,1,1,""],registerTempTable:[2,1,1,""],isStreaming:[2,4,1,""],randomSplit:[2,1,1,""],alias:[2,1,1,""],dtypes:[2,4,1,""],createTempView:[2,1,1,""],toDF:[2,1,1,""],corr:[2,1,1,""],head:[2,1,1,""],fillna:[2,1,1,""],subtract:[2,1,1,""],crosstab:[2,1,1,""],union:[2,1,1,""],count:[2,1,1,""],withWatermark:[2,1,1,""],join:[2,1,1,""],stat:[2,4,1,""],cov:[2,1,1,""],sortWithinPartitions:[2,1,1,""],unpersist:[2,1,1,""],drop:[2,1,1,""],foreach:[2,1,1,""],filter:[2,1,1,""],sampleBy:[2,1,1,""],dropDuplicates:[2,1,1,""],limit:[2,1,1,""],agg:[2,1,1,""],selectExpr:[2,1,1,""],where:[2,1,1,""],groupby:[2,1,1,""],writeStream:[2,4,1,""],first:[2,1,1,""]},"pyspark.mllib.tree.RandomForest":{supportedFeatureSubsetStrategies:[5,4,1,""],trainRegressor:[5,3,1,""],trainClassifier:[5,3,1,""]},"pyspark.ml.linalg.SparseMatrix":{toArray:[4,1,1,""],toDense:[4,1,1,""]},"pyspark.ml.feature.MinMaxScalerModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],originalMax:[4,4,1,""],getParam:[4,1,1,""],originalMin:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.linalg.distributed.RowMatrix":{tallSkinnyQR:[5,1,1,""],rows:[5,4,1,""],computeCovariance:[5,1,1,""],computeGramianMatrix:[5,1,1,""],numRows:[5,1,1,""],computeColumnSummaryStatistics:[5,1,1,""],columnSimilarities:[5,1,1,""],numCols:[5,1,1,""]},"pyspark.StorageLevel":{OFF_HEAP:[1,4,1,""],DISK_ONLY:[1,4,1,""],MEMORY_ONLY_2:[1,4,1,""],MEMORY_ONLY:[1,4,1,""],MEMORY_ONLY_SER:[1,4,1,""],MEMORY_AND_DISK:[1,4,1,""],MEMORY_AND_DISK_SER:[1,4,1,""],MEMORY_AND_DISK_SER_2:[1,4,1,""],MEMORY_ONLY_SER_2:[1,4,1,""],DISK_ONLY_2:[1,4,1,""],MEMORY_AND_DISK_2:[1,4,1,""]},"pyspark.ml.feature.Bucketizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],setHandleInvalid:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],getSplits:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],getHandleInvalid:[4,1,1,""],read:[4,3,1,""],setSplits:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],splits:[4,4,1,""],handleInvalid:[4,4,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],explainParams:[4,1,1,""]},"pyspark.sql.DataFrameNaFunctions":{drop:[2,1,1,""],replace:[2,1,1,""],fill:[2,1,1,""]},"pyspark.ml.feature.PolynomialExpansion":{load:[4,3,1,""],hasParam:[4,1,1,""],getDegree:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],getInputCol:[4,1,1,""],extractParamMap:[4,1,1,""],setDegree:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],degree:[4,4,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.feature.IDFModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],idf:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.clustering.PowerIterationClustering":{Assignment:[5,5,1,""],train:[5,3,1,""]},"pyspark.streaming.StreamingListener.Java":{"implements":[3,4,1,""]},"pyspark.sql.types.DateType":{needConversion:[2,1,1,""],EPOCH_ORDINAL:[2,4,1,""],toInternal:[2,1,1,""],fromInternal:[2,1,1,""]},"pyspark.ml.regression.LinearRegression":{load:[4,3,1,""],setRegParam:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setTol:[4,1,1,""],isDefined:[4,1,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],getRegParam:[4,1,1,""],setPredictionCol:[4,1,1,""],setAggregationDepth:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],read:[4,3,1,""],params:[4,4,1,""],tol:[4,4,1,""],aggregationDepth:[4,4,1,""],setMaxIter:[4,1,1,""],getStandardization:[4,1,1,""],isSet:[4,1,1,""],setFeaturesCol:[4,1,1,""],getTol:[4,1,1,""],setSolver:[4,1,1,""],fitIntercept:[4,4,1,""],getLabelCol:[4,1,1,""],getFitIntercept:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setStandardization:[4,1,1,""],getElasticNetParam:[4,1,1,""],weightCol:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setElasticNetParam:[4,1,1,""],regParam:[4,4,1,""],elasticNetParam:[4,4,1,""],save:[4,1,1,""],predictionCol:[4,4,1,""],standardization:[4,4,1,""],solver:[4,4,1,""],setFitIntercept:[4,1,1,""],hasParam:[4,1,1,""],getAggregationDepth:[4,1,1,""],setWeightCol:[4,1,1,""],getFeaturesCol:[4,1,1,""],getWeightCol:[4,1,1,""],getSolver:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.sql.SQLContext":{dropTempTable:[2,1,1,""],createExternalTable:[2,1,1,""],registerDataFrameAsTable:[2,1,1,""],table:[2,1,1,""],readStream:[2,4,1,""],getOrCreate:[2,3,1,""],tables:[2,1,1,""],clearCache:[2,1,1,""],registerJavaFunction:[2,1,1,""],tableNames:[2,1,1,""],read:[2,4,1,""],newSession:[2,1,1,""],createDataFrame:[2,1,1,""],registerFunction:[2,1,1,""],cacheTable:[2,1,1,""],udf:[2,4,1,""],sql:[2,1,1,""],getConf:[2,1,1,""],range:[2,1,1,""],streams:[2,4,1,""],setConf:[2,1,1,""],uncacheTable:[2,1,1,""]},"pyspark.mllib.linalg.Matrices":{dense:[5,6,1,""],fromML:[5,6,1,""],sparse:[5,6,1,""]},"pyspark.ml.feature.StandardScalerModel":{std:[4,4,1,""],load:[4,3,1,""],save:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],explainParam:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""],mean:[4,4,1,""]},"pyspark.ml.feature.SQLTransformer":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],setStatement:[4,1,1,""],params:[4,4,1,""],statement:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getStatement:[4,1,1,""]},"pyspark.ml.tuning.TrainValidationSplit":{getEvaluator:[4,1,1,""],getSeed:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],getParam:[4,1,1,""],setEstimatorParamMaps:[4,1,1,""],setParams:[4,1,1,""],getOrDefault:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],params:[4,4,1,""],isSet:[4,1,1,""],estimatorParamMaps:[4,4,1,""],setEvaluator:[4,1,1,""],getTrainRatio:[4,1,1,""],explainParam:[4,1,1,""],trainRatio:[4,4,1,""],setEstimator:[4,1,1,""],evaluator:[4,4,1,""],copy:[4,1,1,""],getEstimator:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],getEstimatorParamMaps:[4,1,1,""],setSeed:[4,1,1,""],estimator:[4,4,1,""],setTrainRatio:[4,1,1,""]},"pyspark.ml.feature.RegexTokenizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],setPattern:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],gaps:[4,4,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],minTokenLength:[4,4,1,""],setGaps:[4,1,1,""],getGaps:[4,1,1,""],getMinTokenLength:[4,1,1,""],extractParamMap:[4,1,1,""],pattern:[4,4,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],getToLowercase:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],toLowercase:[4,4,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setToLowercase:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],getPattern:[4,1,1,""],setMinTokenLength:[4,1,1,""]},"pyspark.ml.evaluation":{MulticlassClassificationEvaluator:[4,5,1,""],Evaluator:[4,5,1,""],RegressionEvaluator:[4,5,1,""],BinaryClassificationEvaluator:[4,5,1,""]},"pyspark.ml.clustering.GaussianMixture":{getProbabilityCol:[4,1,1,""],load:[4,3,1,""],hasParam:[4,1,1,""],getSeed:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],probabilityCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],tol:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],getK:[4,1,1,""],setK:[4,1,1,""],explainParam:[4,1,1,""],setProbabilityCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getTol:[4,1,1,""],fit:[4,1,1,""],k:[4,4,1,""],getFeaturesCol:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],setTol:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.mllib.util.JavaSaveable":{save:[5,1,1,""]},"pyspark.mllib.clustering":{GaussianMixture:[5,5,1,""],GaussianMixtureModel:[5,5,1,""],PowerIterationClusteringModel:[5,5,1,""],LDA:[5,5,1,""],LDAModel:[5,5,1,""],BisectingKMeansModel:[5,5,1,""],PowerIterationClustering:[5,5,1,""],StreamingKMeansModel:[5,5,1,""],KMeans:[5,5,1,""],BisectingKMeans:[5,5,1,""],KMeansModel:[5,5,1,""],StreamingKMeans:[5,5,1,""]},"pyspark.ml.regression.GBTRegressionModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],treeWeights:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],toDebugString:[4,4,1,""],featureImportances:[4,4,1,""],trees:[4,4,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],totalNumNodes:[4,4,1,""],getNumTrees:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],numFeatures:[4,4,1,""]},"pyspark.ml.classification.MultilayerPerceptronClassifier":{load:[4,3,1,""],getInitialWeights:[4,1,1,""],getSeed:[4,1,1,""],copy:[4,1,1,""],maxIter:[4,4,1,""],hasDefault:[4,1,1,""],setLayers:[4,1,1,""],stepSize:[4,4,1,""],setTol:[4,1,1,""],getParam:[4,1,1,""],getBlockSize:[4,1,1,""],setParams:[4,1,1,""],layers:[4,4,1,""],getLayers:[4,1,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],blockSize:[4,4,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],read:[4,3,1,""],params:[4,4,1,""],tol:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getStepSize:[4,1,1,""],getLabelCol:[4,1,1,""],setSolver:[4,1,1,""],initialWeights:[4,4,1,""],setFeaturesCol:[4,1,1,""],setBlockSize:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setStepSize:[4,1,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],getTol:[4,1,1,""],predictionCol:[4,4,1,""],solver:[4,4,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],seed:[4,4,1,""],setInitialWeights:[4,1,1,""],getSolver:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.ml.linalg.DenseVector":{toArray:[4,1,1,""],values:[4,4,1,""],dot:[4,1,1,""],squared_distance:[4,1,1,""],numNonzeros:[4,1,1,""],norm:[4,1,1,""]},"pyspark.mllib.classification.SVMModel":{load:[5,3,1,""],predict:[5,1,1,""],clearThreshold:[5,1,1,""],intercept:[5,4,1,""],weights:[5,4,1,""],threshold:[5,4,1,""],save:[5,1,1,""],setThreshold:[5,1,1,""]},"pyspark.mllib.linalg.distributed":{BlockMatrix:[5,5,1,""],MatrixEntry:[5,5,1,""],CoordinateMatrix:[5,5,1,""],IndexedRowMatrix:[5,5,1,""],DistributedMatrix:[5,5,1,""],RowMatrix:[5,5,1,""],IndexedRow:[5,5,1,""]},"pyspark.AccumulatorParam":{zero:[1,1,1,""],addInPlace:[1,1,1,""]},"pyspark.mllib.stat.Statistics":{kolmogorovSmirnovTest:[5,6,1,""],colStats:[5,6,1,""],corr:[5,6,1,""],chiSqTest:[5,6,1,""]},"pyspark.streaming.kinesis.KinesisUtils":{createStream:[3,6,1,""]},"pyspark.mllib.classification":{LogisticRegressionWithLBFGS:[5,5,1,""],StreamingLogisticRegressionWithSGD:[5,5,1,""],LogisticRegressionModel:[5,5,1,""],NaiveBayesModel:[5,5,1,""],SVMWithSGD:[5,5,1,""],NaiveBayes:[5,5,1,""],LogisticRegressionWithSGD:[5,5,1,""],SVMModel:[5,5,1,""]},"pyspark.ml.PipelineModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.SparkFiles":{getRootDirectory:[1,3,1,""],get:[1,3,1,""]},"pyspark.mllib.classification.LogisticRegressionModel":{load:[5,3,1,""],predict:[5,1,1,""],numClasses:[5,4,1,""],intercept:[5,4,1,""],weights:[5,4,1,""],clearThreshold:[5,1,1,""],numFeatures:[5,4,1,""],threshold:[5,4,1,""],save:[5,1,1,""],setThreshold:[5,1,1,""]},"pyspark.ml.feature.StringIndexer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setHandleInvalid:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],getHandleInvalid:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],handleInvalid:[4,4,1,""]},"pyspark.ml.classification":{LogisticRegression:[4,5,1,""],GBTClassifier:[4,5,1,""],LogisticRegressionSummary:[4,5,1,""],LogisticRegressionModel:[4,5,1,""],NaiveBayesModel:[4,5,1,""],OneVsRestModel:[4,5,1,""],DecisionTreeClassificationModel:[4,5,1,""],DecisionTreeClassifier:[4,5,1,""],LogisticRegressionTrainingSummary:[4,5,1,""],RandomForestClassifier:[4,5,1,""],OneVsRest:[4,5,1,""],BinaryLogisticRegressionSummary:[4,5,1,""],BinaryLogisticRegressionTrainingSummary:[4,5,1,""],NaiveBayes:[4,5,1,""],MultilayerPerceptronClassificationModel:[4,5,1,""],RandomForestClassificationModel:[4,5,1,""],GBTClassificationModel:[4,5,1,""],MultilayerPerceptronClassifier:[4,5,1,""]},"pyspark.mllib.evaluation.MulticlassMetrics":{weightedPrecision:[5,4,1,""],weightedRecall:[5,4,1,""],falsePositiveRate:[5,1,1,""],weightedFMeasure:[5,1,1,""],recall:[5,1,1,""],confusionMatrix:[5,1,1,""],precision:[5,1,1,""],fMeasure:[5,1,1,""],weightedFalsePositiveRate:[5,4,1,""],truePositiveRate:[5,1,1,""],weightedTruePositiveRate:[5,4,1,""],accuracy:[5,4,1,""]},"pyspark.ml.classification.GBTClassifier":{getCheckpointInterval:[4,1,1,""],load:[4,3,1,""],hasParam:[4,1,1,""],getSeed:[4,1,1,""],setCacheNodeIds:[4,1,1,""],getLossType:[4,1,1,""],maxIter:[4,4,1,""],hasDefault:[4,1,1,""],supportedLossTypes:[4,4,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],setMinInstancesPerNode:[4,1,1,""],maxMemoryInMB:[4,4,1,""],setParams:[4,1,1,""],subsamplingRate:[4,4,1,""],getMaxDepth:[4,1,1,""],getSubsamplingRate:[4,1,1,""],setSubsamplingRate:[4,1,1,""],copy:[4,1,1,""],cacheNodeIds:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],stepSize:[4,4,1,""],setMinInfoGain:[4,1,1,""],params:[4,4,1,""],minInfoGain:[4,4,1,""],getMaxMemoryInMB:[4,1,1,""],isSet:[4,1,1,""],getStepSize:[4,1,1,""],getLabelCol:[4,1,1,""],setLossType:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],setFeaturesCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setStepSize:[4,1,1,""],getCacheNodeIds:[4,1,1,""],maxDepth:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],setMaxIter:[4,1,1,""],getMaxBins:[4,1,1,""],save:[4,1,1,""],predictionCol:[4,4,1,""],setMaxMemoryInMB:[4,1,1,""],explainParams:[4,1,1,""],getMinInfoGain:[4,1,1,""],checkpointInterval:[4,4,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],getMinInstancesPerNode:[4,1,1,""],lossType:[4,4,1,""],setMaxDepth:[4,1,1,""],setCheckpointInterval:[4,1,1,""],getMaxIter:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.mllib.clustering.LDAModel":{load:[5,3,1,""],vocabSize:[5,1,1,""],describeTopics:[5,1,1,""],topicsMatrix:[5,1,1,""]},"pyspark.ml.linalg.Matrix":{toArray:[4,1,1,""]},"pyspark.ml.evaluation.BinaryClassificationEvaluator":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],setMetricName:[4,1,1,""],setRawPredictionCol:[4,1,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],getRawPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],rawPredictionCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMetricName:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],isLargerBetter:[4,1,1,""],metricName:[4,4,1,""]},"pyspark.mllib.linalg.Vector":{toArray:[5,1,1,""],asML:[5,1,1,""]},"pyspark.mllib.regression.LinearModel":{intercept:[5,4,1,""],weights:[5,4,1,""]},"pyspark.ml.classification.RandomForestClassifier":{getProbabilityCol:[4,1,1,""],getCheckpointInterval:[4,1,1,""],hasParam:[4,1,1,""],getSeed:[4,1,1,""],setImpurity:[4,1,1,""],setCacheNodeIds:[4,1,1,""],setMinInstancesPerNode:[4,1,1,""],hasDefault:[4,1,1,""],setNumTrees:[4,1,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],getRawPredictionCol:[4,1,1,""],getParam:[4,1,1,""],getMaxDepth:[4,1,1,""],setFeatureSubsetStrategy:[4,1,1,""],subsamplingRate:[4,4,1,""],maxMemoryInMB:[4,4,1,""],setMinInfoGain:[4,1,1,""],setSubsamplingRate:[4,1,1,""],checkpointInterval:[4,4,1,""],cacheNodeIds:[4,4,1,""],impurity:[4,4,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],setParams:[4,1,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],supportedFeatureSubsetStrategies:[4,4,1,""],params:[4,4,1,""],getMaxBins:[4,1,1,""],featureSubsetStrategy:[4,4,1,""],rawPredictionCol:[4,4,1,""],minInfoGain:[4,4,1,""],getMaxMemoryInMB:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],setPredictionCol:[4,1,1,""],getSubsamplingRate:[4,1,1,""],getFeatureSubsetStrategy:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],setFeaturesCol:[4,1,1,""],load:[4,3,1,""],getImpurity:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMinInstancesPerNode:[4,1,1,""],setProbabilityCol:[4,1,1,""],maxDepth:[4,4,1,""],supportedImpurities:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getCacheNodeIds:[4,1,1,""],setRawPredictionCol:[4,1,1,""],save:[4,1,1,""],getNumTrees:[4,1,1,""],fit:[4,1,1,""],setMaxMemoryInMB:[4,1,1,""],explainParams:[4,1,1,""],getMinInfoGain:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],numTrees:[4,4,1,""],setMaxDepth:[4,1,1,""],setCheckpointInterval:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.streaming.kafka.KafkaMessageAndMetadata":{message:[3,4,1,""],key:[3,4,1,""]},"pyspark.mllib.classification.StreamingLogisticRegressionWithSGD":{trainOn:[5,1,1,""],predictOn:[5,1,1,""],latestModel:[5,1,1,""],predictOnValues:[5,1,1,""],setInitialWeights:[5,1,1,""]},"pyspark.mllib.linalg.distributed.IndexedRowMatrix":{rows:[5,4,1,""],toBlockMatrix:[5,1,1,""],computeGramianMatrix:[5,1,1,""],numRows:[5,1,1,""],toRowMatrix:[5,1,1,""],toCoordinateMatrix:[5,1,1,""],columnSimilarities:[5,1,1,""],numCols:[5,1,1,""]},"pyspark.ml.classification.LogisticRegressionSummary":{probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""]},"pyspark.mllib.tree.DecisionTreeModel":{load:[5,3,1,""],numNodes:[5,1,1,""],predict:[5,1,1,""],toDebugString:[5,1,1,""],depth:[5,1,1,""],call:[5,1,1,""],save:[5,1,1,""]},"pyspark.ml.recommendation.ALSModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],rank:[4,4,1,""],hasDefault:[4,1,1,""],explainParam:[4,1,1,""],userFactors:[4,4,1,""],isDefined:[4,1,1,""],getParam:[4,1,1,""],itemFactors:[4,4,1,""],params:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.evaluation":{MulticlassMetrics:[5,5,1,""],RegressionMetrics:[5,5,1,""],RankingMetrics:[5,5,1,""],BinaryClassificationMetrics:[5,5,1,""]},"pyspark.ml.feature.VectorSlicer":{load:[4,3,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],names:[4,4,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],setInputCol:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],getNames:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],indices:[4,4,1,""],setIndices:[4,1,1,""],getIndices:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],setNames:[4,1,1,""]},"pyspark.ml.feature.ChiSqSelectorModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],selectedFeatures:[4,4,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.feature.Word2Vec":{fit:[5,1,1,""],setWindowSize:[5,1,1,""],setSeed:[5,1,1,""],setNumPartitions:[5,1,1,""],setLearningRate:[5,1,1,""],setMinCount:[5,1,1,""],setNumIterations:[5,1,1,""],setVectorSize:[5,1,1,""]},"pyspark.mllib.linalg":{Matrix:[5,5,1,""],SparseVector:[5,5,1,""],Vectors:[5,5,1,""],distributed:[5,0,0,"-"],Vector:[5,5,1,""],QRDecomposition:[5,5,1,""],DenseMatrix:[5,5,1,""],DenseVector:[5,5,1,""],Matrices:[5,5,1,""],SparseMatrix:[5,5,1,""]},"pyspark.ml.feature.MaxAbsScalerModel":{load:[4,3,1,""],explainParam:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],maxAbs:[4,4,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.fpm.PrefixSpan":{train:[5,3,1,""],FreqSequence:[5,5,1,""]},"pyspark.ml.classification.RandomForestClassificationModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],getParam:[4,1,1,""],treeWeights:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],toDebugString:[4,4,1,""],featureImportances:[4,4,1,""],trees:[4,4,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],totalNumNodes:[4,4,1,""],getNumTrees:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],numClasses:[4,4,1,""],numFeatures:[4,4,1,""]},"pyspark.sql.types.StructType":{jsonValue:[2,1,1,""],needConversion:[2,1,1,""],simpleString:[2,1,1,""],toInternal:[2,1,1,""],add:[2,1,1,""],fromInternal:[2,1,1,""],fromJson:[2,3,1,""]},"pyspark.sql.types.DataType":{jsonValue:[2,1,1,""],needConversion:[2,1,1,""],simpleString:[2,1,1,""],toInternal:[2,1,1,""],typeName:[2,3,1,""],json:[2,1,1,""],fromInternal:[2,1,1,""]},"pyspark.ml.feature.StandardScaler":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getWithMean:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],getWithStd:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],withStd:[4,4,1,""],explainParam:[4,1,1,""],setWithMean:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setWithStd:[4,1,1,""],withMean:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""]},"pyspark.ml.classification.DecisionTreeClassifier":{getCheckpointInterval:[4,1,1,""],getProbabilityCol:[4,1,1,""],getMinInfoGain:[4,1,1,""],getSeed:[4,1,1,""],setImpurity:[4,1,1,""],setCacheNodeIds:[4,1,1,""],setMinInstancesPerNode:[4,1,1,""],hasDefault:[4,1,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],featuresCol:[4,4,1,""],getParam:[4,1,1,""],maxMemoryInMB:[4,4,1,""],setParams:[4,1,1,""],getMaxDepth:[4,1,1,""],setMinInfoGain:[4,1,1,""],setRawPredictionCol:[4,1,1,""],checkpointInterval:[4,4,1,""],cacheNodeIds:[4,4,1,""],impurity:[4,4,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],getRawPredictionCol:[4,1,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],setPredictionCol:[4,1,1,""],rawPredictionCol:[4,4,1,""],minInfoGain:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],load:[4,3,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMinInstancesPerNode:[4,1,1,""],setProbabilityCol:[4,1,1,""],maxDepth:[4,4,1,""],supportedImpurities:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getMaxBins:[4,1,1,""],getImpurity:[4,1,1,""],getMaxMemoryInMB:[4,1,1,""],predictionCol:[4,4,1,""],setMaxMemoryInMB:[4,1,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],getCacheNodeIds:[4,1,1,""],setMaxDepth:[4,1,1,""],setCheckpointInterval:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.mllib.tree.GradientBoostedTreesModel":{totalNumNodes:[5,1,1,""],load:[5,3,1,""],predict:[5,1,1,""],toDebugString:[5,1,1,""],numTrees:[5,1,1,""],call:[5,1,1,""],save:[5,1,1,""]},"pyspark.mllib.recommendation.ALS":{trainImplicit:[5,3,1,""],train:[5,3,1,""]},"pyspark.mllib.linalg.Matrix":{toArray:[5,1,1,""],asML:[5,1,1,""]},"pyspark.mllib.clustering.KMeansModel":{load:[5,3,1,""],predict:[5,1,1,""],k:[5,4,1,""],save:[5,1,1,""],clusterCenters:[5,4,1,""],computeCost:[5,1,1,""]},"pyspark.mllib.feature":{ChiSqSelector:[5,5,1,""],Normalizer:[5,5,1,""],Word2Vec:[5,5,1,""],Word2VecModel:[5,5,1,""],StandardScalerModel:[5,5,1,""],IDFModel:[5,5,1,""],ElementwiseProduct:[5,5,1,""],IDF:[5,5,1,""],HashingTF:[5,5,1,""],StandardScaler:[5,5,1,""],ChiSqSelectorModel:[5,5,1,""]},"pyspark.ml.clustering.GaussianMixtureSummary":{probability:[4,4,1,""],predictionCol:[4,4,1,""],k:[4,4,1,""],probabilityCol:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],cluster:[4,4,1,""],clusterSizes:[4,4,1,""]},"pyspark.mllib.feature.HashingTF":{indexOf:[5,1,1,""],transform:[5,1,1,""],setBinary:[5,1,1,""]},"pyspark.ml.classification.BinaryLogisticRegressionSummary":{pr:[4,4,1,""],roc:[4,4,1,""],recallByThreshold:[4,4,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],precisionByThreshold:[4,4,1,""],areaUnderROC:[4,4,1,""],fMeasureByThreshold:[4,4,1,""]},"pyspark.sql.types.ArrayType":{jsonValue:[2,1,1,""],needConversion:[2,1,1,""],simpleString:[2,1,1,""],toInternal:[2,1,1,""],fromInternal:[2,1,1,""],fromJson:[2,3,1,""]},"pyspark.ml.linalg.Vectors":{dense:[4,6,1,""],squared_distance:[4,6,1,""],zeros:[4,6,1,""],norm:[4,6,1,""],sparse:[4,6,1,""]},"pyspark.sql.types.MapType":{jsonValue:[2,1,1,""],needConversion:[2,1,1,""],simpleString:[2,1,1,""],toInternal:[2,1,1,""],fromInternal:[2,1,1,""],fromJson:[2,3,1,""]},"pyspark.SparkContext":{parallelize:[1,1,1,""],binaryFiles:[1,1,1,""],defaultParallelism:[1,4,1,""],applicationId:[1,4,1,""],newAPIHadoopFile:[1,1,1,""],getOrCreate:[1,3,1,""],statusTracker:[1,1,1,""],setLocalProperty:[1,1,1,""],wholeTextFiles:[1,1,1,""],union:[1,1,1,""],runJob:[1,1,1,""],setLogLevel:[1,1,1,""],getLocalProperty:[1,1,1,""],pickleFile:[1,1,1,""],cancelJobGroup:[1,1,1,""],version:[1,4,1,""],cancelAllJobs:[1,1,1,""],hadoopRDD:[1,1,1,""],defaultMinPartitions:[1,4,1,""],newAPIHadoopRDD:[1,1,1,""],PACKAGE_EXTENSIONS:[1,4,1,""],setCheckpointDir:[1,1,1,""],emptyRDD:[1,1,1,""],stop:[1,1,1,""],broadcast:[1,1,1,""],show_profiles:[1,1,1,""],setJobGroup:[1,1,1,""],startTime:[1,4,1,""],sparkUser:[1,1,1,""],getConf:[1,1,1,""],binaryRecords:[1,1,1,""],hadoopFile:[1,1,1,""],addFile:[1,1,1,""],dump_profiles:[1,1,1,""],addPyFile:[1,1,1,""],accumulator:[1,1,1,""],range:[1,1,1,""],setSystemProperty:[1,3,1,""],textFile:[1,1,1,""],uiWebUrl:[1,4,1,""],sequenceFile:[1,1,1,""]},"pyspark.ml.Estimator":{fit:[4,1,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.clustering.KMeansModel":{load:[4,3,1,""],explainParam:[4,1,1,""],save:[4,1,1,""],transform:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],hasSummary:[4,4,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],write:[4,1,1,""],isSet:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],clusterCenters:[4,1,1,""],explainParams:[4,1,1,""],computeCost:[4,1,1,""]},"pyspark.mllib.linalg.DenseVector":{toArray:[5,1,1,""],parse:[5,6,1,""],values:[5,4,1,""],norm:[5,1,1,""],squared_distance:[5,1,1,""],numNonzeros:[5,1,1,""],dot:[5,1,1,""],asML:[5,1,1,""]},"pyspark.ml.clustering.BisectingKMeans":{load:[4,3,1,""],getK:[4,1,1,""],getSeed:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setMinDivisibleClusterSize:[4,1,1,""],seed:[4,4,1,""],maxIter:[4,4,1,""],getMinDivisibleClusterSize:[4,1,1,""],setParams:[4,1,1,""],explainParams:[4,1,1,""],copy:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],setFeaturesCol:[4,1,1,""],setK:[4,1,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],fit:[4,1,1,""],k:[4,4,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minDivisibleClusterSize:[4,4,1,""],getMaxIter:[4,1,1,""]},"pyspark.mllib.regression.StreamingLinearAlgorithm":{predictOn:[5,1,1,""],latestModel:[5,1,1,""],predictOnValues:[5,1,1,""]},"pyspark.sql.streaming.DataStreamReader":{load:[2,1,1,""],option:[2,1,1,""],format:[2,1,1,""],text:[2,1,1,""],json:[2,1,1,""],parquet:[2,1,1,""],csv:[2,1,1,""],options:[2,1,1,""],schema:[2,1,1,""]},"pyspark.ml.tuning":{ParamGridBuilder:[4,5,1,""],TrainValidationSplit:[4,5,1,""],CrossValidatorModel:[4,5,1,""],CrossValidator:[4,5,1,""],TrainValidationSplitModel:[4,5,1,""]},"pyspark.RDD":{localCheckpoint:[1,1,1,""],sortByKey:[1,1,1,""],mapPartitionsWithIndex:[1,1,1,""],foreachPartition:[1,1,1,""],persist:[1,1,1,""],isEmpty:[1,1,1,""],mapPartitionsWithSplit:[1,1,1,""],take:[1,1,1,""],flatMap:[1,1,1,""],repartitionAndSortWithinPartitions:[1,1,1,""],intersection:[1,1,1,""],partitionBy:[1,1,1,""],name:[1,1,1,""],fullOuterJoin:[1,1,1,""],saveAsPickleFile:[1,1,1,""],saveAsSequenceFile:[1,1,1,""],getNumPartitions:[1,1,1,""],mean:[1,1,1,""],getStorageLevel:[1,1,1,""],saveAsNewAPIHadoopDataset:[1,1,1,""],reduce:[1,1,1,""],fold:[1,1,1,""],aggregateByKey:[1,1,1,""],groupBy:[1,1,1,""],getCheckpointFile:[1,1,1,""],stats:[1,1,1,""],collect:[1,1,1,""],sum:[1,1,1,""],reduceByKeyLocally:[1,1,1,""],takeSample:[1,1,1,""],takeOrdered:[1,1,1,""],collectAsMap:[1,1,1,""],meanApprox:[1,1,1,""],stdev:[1,1,1,""],subtract:[1,1,1,""],subtractByKey:[1,1,1,""],saveAsTextFile:[1,1,1,""],filter:[1,1,1,""],union:[1,1,1,""],context:[1,4,1,""],treeReduce:[1,1,1,""],variance:[1,1,1,""],saveAsHadoopFile:[1,1,1,""],sampleByKey:[1,1,1,""],first:[1,1,1,""],combineByKey:[1,1,1,""],cache:[1,1,1,""],saveAsNewAPIHadoopFile:[1,1,1,""],groupWith:[1,1,1,""],cartesian:[1,1,1,""],zip:[1,1,1,""],reduceByKey:[1,1,1,""],distinct:[1,1,1,""],top:[1,1,1,""],toLocalIterator:[1,1,1,""],checkpoint:[1,1,1,""],coalesce:[1,1,1,""],leftOuterJoin:[1,1,1,""],mapPartitions:[1,1,1,""],saveAsHadoopDataset:[1,1,1,""],setName:[1,1,1,""],repartition:[1,1,1,""],toDebugString:[1,1,1,""],keyBy:[1,1,1,""],histogram:[1,1,1,""],sumApprox:[1,1,1,""],sortBy:[1,1,1,""],isLocallyCheckpointed:[1,1,1,""],sampleStdev:[1,1,1,""],count:[1,1,1,""],foldByKey:[1,1,1,""],join:[1,1,1,""],countByKey:[1,1,1,""],unpersist:[1,1,1,""],values:[1,1,1,""],countApprox:[1,1,1,""],sampleVariance:[1,1,1,""],countApproxDistinct:[1,1,1,""],zipWithIndex:[1,1,1,""],randomSplit:[1,1,1,""],groupByKey:[1,1,1,""],sample:[1,1,1,""],isCheckpointed:[1,1,1,""],id:[1,1,1,""],treeAggregate:[1,1,1,""],min:[1,1,1,""],countByValue:[1,1,1,""],lookup:[1,1,1,""],foreach:[1,1,1,""],flatMapValues:[1,1,1,""],map:[1,1,1,""],glom:[1,1,1,""],keys:[1,1,1,""],rightOuterJoin:[1,1,1,""],cogroup:[1,1,1,""],aggregate:[1,1,1,""],max:[1,1,1,""],zipWithUniqueId:[1,1,1,""],mapValues:[1,1,1,""],pipe:[1,1,1,""]},"pyspark.PickleSerializer":{dumps:[1,1,1,""],loads:[1,1,1,""]},"pyspark.sql.DataFrameWriter":{csv:[2,1,1,""],option:[2,1,1,""],format:[2,1,1,""],text:[2,1,1,""],insertInto:[2,1,1,""],saveAsTable:[2,1,1,""],orc:[2,1,1,""],json:[2,1,1,""],jdbc:[2,1,1,""],mode:[2,1,1,""],parquet:[2,1,1,""],save:[2,1,1,""],options:[2,1,1,""],partitionBy:[2,1,1,""]},"pyspark.mllib.feature.Normalizer":{transform:[5,1,1,""]},"pyspark.ml.Pipeline":{load:[4,3,1,""],write:[4,1,1,""],setParams:[4,1,1,""],copy:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],stages:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],explainParam:[4,1,1,""],getStages:[4,1,1,""],setStages:[4,1,1,""],getParam:[4,1,1,""],params:[4,4,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.feature.PCAModel":{load:[4,3,1,""],explainParam:[4,1,1,""],save:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],pc:[4,4,1,""],getOrDefault:[4,1,1,""],getParam:[4,1,1,""],params:[4,4,1,""],explainedVariance:[4,4,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.sql.streaming.StreamingQuery":{status:[2,4,1,""],recentProgress:[2,4,1,""],name:[2,4,1,""],stop:[2,1,1,""],explain:[2,1,1,""],awaitTermination:[2,1,1,""],exception:[2,1,1,""],id:[2,4,1,""],runId:[2,4,1,""],processAllAvailable:[2,1,1,""],lastProgress:[2,4,1,""],isActive:[2,4,1,""]},"pyspark.mllib.clustering.PowerIterationClusteringModel":{load:[5,3,1,""],assignments:[5,1,1,""],k:[5,4,1,""]},"pyspark.MarshalSerializer":{dumps:[1,1,1,""],loads:[1,1,1,""]},"pyspark.mllib":{clustering:[5,0,0,"-"],stat:[5,0,0,"-"],classification:[5,0,0,"-"],linalg:[5,0,0,"-"],fpm:[5,0,0,"-"],random:[5,0,0,"-"],tree:[5,0,0,"-"],feature:[5,0,0,"-"],util:[5,0,0,"-"],recommendation:[5,0,0,"-"],evaluation:[5,0,0,"-"],regression:[5,0,0,"-"]},"pyspark.ml.evaluation.Evaluator":{extractParamMap:[4,1,1,""],evaluate:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],isLargerBetter:[4,1,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.classification.LogisticRegressionWithLBFGS":{train:[5,3,1,""]},"pyspark.streaming.flume.FlumeUtils":{createStream:[3,6,1,""],createPollingStream:[3,6,1,""]},"pyspark.ml.regression.LinearRegressionModel":{load:[4,3,1,""],hasSummary:[4,4,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],explainParam:[4,1,1,""],intercept:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],coefficients:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],numFeatures:[4,4,1,""]},"pyspark.ml.feature.Binarizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],threshold:[4,4,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],getThreshold:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setThreshold:[4,1,1,""]},"pyspark.ml.feature":{MinMaxScalerModel:[4,5,1,""],ChiSqSelector:[4,5,1,""],Word2Vec:[4,5,1,""],RegexTokenizer:[4,5,1,""],MaxAbsScaler:[4,5,1,""],Bucketizer:[4,5,1,""],QuantileDiscretizer:[4,5,1,""],IDF:[4,5,1,""],PCA:[4,5,1,""],PCAModel:[4,5,1,""],Normalizer:[4,5,1,""],StringIndexerModel:[4,5,1,""],OneHotEncoder:[4,5,1,""],PolynomialExpansion:[4,5,1,""],ElementwiseProduct:[4,5,1,""],RFormula:[4,5,1,""],StopWordsRemover:[4,5,1,""],DCT:[4,5,1,""],VectorIndexer:[4,5,1,""],VectorAssembler:[4,5,1,""],VectorSlicer:[4,5,1,""],MaxAbsScalerModel:[4,5,1,""],NGram:[4,5,1,""],CountVectorizer:[4,5,1,""],Binarizer:[4,5,1,""],ChiSqSelectorModel:[4,5,1,""],CountVectorizerModel:[4,5,1,""],HashingTF:[4,5,1,""],Tokenizer:[4,5,1,""],Word2VecModel:[4,5,1,""],StandardScalerModel:[4,5,1,""],IDFModel:[4,5,1,""],StandardScaler:[4,5,1,""],SQLTransformer:[4,5,1,""],StringIndexer:[4,5,1,""],VectorIndexerModel:[4,5,1,""],IndexToString:[4,5,1,""],RFormulaModel:[4,5,1,""],MinMaxScaler:[4,5,1,""]},"pyspark.ml.classification.NaiveBayes":{getProbabilityCol:[4,1,1,""],smoothing:[4,4,1,""],thresholds:[4,4,1,""],hasParam:[4,1,1,""],setSmoothing:[4,1,1,""],hasDefault:[4,1,1,""],modelType:[4,4,1,""],getRawPredictionCol:[4,1,1,""],getParam:[4,1,1,""],setRawPredictionCol:[4,1,1,""],setParams:[4,1,1,""],copy:[4,1,1,""],predictionCol:[4,4,1,""],getFeaturesCol:[4,1,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],rawPredictionCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getSmoothing:[4,1,1,""],setModelType:[4,1,1,""],setFeaturesCol:[4,1,1,""],read:[4,3,1,""],getLabelCol:[4,1,1,""],load:[4,3,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setProbabilityCol:[4,1,1,""],weightCol:[4,4,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],fit:[4,1,1,""],getModelType:[4,1,1,""],explainParams:[4,1,1,""],extractParamMap:[4,1,1,""],setThresholds:[4,1,1,""],isDefined:[4,1,1,""],getThresholds:[4,1,1,""],setWeightCol:[4,1,1,""],getWeightCol:[4,1,1,""]},"pyspark.ml.clustering.LDA":{getCheckpointInterval:[4,1,1,""],load:[4,3,1,""],getDocConcentration:[4,1,1,""],getK:[4,1,1,""],getSeed:[4,1,1,""],learningDecay:[4,4,1,""],keepLastCheckpoint:[4,4,1,""],setTopicConcentration:[4,1,1,""],getParam:[4,1,1,""],getKeepLastCheckpoint:[4,1,1,""],hasDefault:[4,1,1,""],setDocConcentration:[4,1,1,""],learningOffset:[4,4,1,""],seed:[4,4,1,""],maxIter:[4,4,1,""],topicConcentration:[4,4,1,""],getOptimizeDocConcentration:[4,1,1,""],setParams:[4,1,1,""],subsamplingRate:[4,4,1,""],optimizeDocConcentration:[4,4,1,""],checkpointInterval:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],setTopicDistributionCol:[4,1,1,""],featuresCol:[4,4,1,""],write:[4,1,1,""],getLearningOffset:[4,1,1,""],params:[4,4,1,""],setSubsamplingRate:[4,1,1,""],setLearningDecay:[4,1,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setFeaturesCol:[4,1,1,""],optimizer:[4,4,1,""],getSubsamplingRate:[4,1,1,""],setOptimizer:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],topicDistributionCol:[4,4,1,""],setK:[4,1,1,""],explainParam:[4,1,1,""],setOptimizeDocConcentration:[4,1,1,""],getTopicDistributionCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setKeepLastCheckpoint:[4,1,1,""],getTopicConcentration:[4,1,1,""],k:[4,4,1,""],setLearningOffset:[4,1,1,""],getLearningDecay:[4,1,1,""],docConcentration:[4,4,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],hasParam:[4,1,1,""],getOptimizer:[4,1,1,""],setCheckpointInterval:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.ml.regression.DecisionTreeRegressor":{getCheckpointInterval:[4,1,1,""],load:[4,3,1,""],hasParam:[4,1,1,""],getSeed:[4,1,1,""],setImpurity:[4,1,1,""],setCacheNodeIds:[4,1,1,""],setMinInstancesPerNode:[4,1,1,""],hasDefault:[4,1,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],getParam:[4,1,1,""],maxMemoryInMB:[4,4,1,""],setParams:[4,1,1,""],getMaxDepth:[4,1,1,""],setMinInfoGain:[4,1,1,""],copy:[4,1,1,""],cacheNodeIds:[4,4,1,""],impurity:[4,4,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],setPredictionCol:[4,1,1,""],minInfoGain:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setVarianceCol:[4,1,1,""],getVarianceCol:[4,1,1,""],getLabelCol:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMinInstancesPerNode:[4,1,1,""],maxDepth:[4,4,1,""],supportedImpurities:[4,4,1,""],getOrDefault:[4,1,1,""],checkpointInterval:[4,4,1,""],getMaxBins:[4,1,1,""],getImpurity:[4,1,1,""],getMaxMemoryInMB:[4,1,1,""],predictionCol:[4,4,1,""],setMaxMemoryInMB:[4,1,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],getMinInfoGain:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],getCacheNodeIds:[4,1,1,""],setMaxDepth:[4,1,1,""],varianceCol:[4,4,1,""],setCheckpointInterval:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.ml.feature.IDF":{load:[4,3,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],getMinDocFreq:[4,1,1,""],explainParam:[4,1,1,""],setMinDocFreq:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],minDocFreq:[4,4,1,""]},"pyspark.mllib.random":{RandomRDDs:[5,5,1,""]},"pyspark.ml.feature.Word2Vec":{maxSentenceLength:[4,4,1,""],load:[4,3,1,""],getOutputCol:[4,1,1,""],getSeed:[4,1,1,""],getInputCol:[4,1,1,""],getWindowSize:[4,1,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],seed:[4,4,1,""],maxIter:[4,4,1,""],setMinCount:[4,1,1,""],setParams:[4,1,1,""],outputCol:[4,4,1,""],setVectorSize:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],numPartitions:[4,4,1,""],write:[4,1,1,""],stepSize:[4,4,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getStepSize:[4,1,1,""],setOutputCol:[4,1,1,""],getVectorSize:[4,1,1,""],read:[4,3,1,""],getMaxSentenceLength:[4,1,1,""],windowSize:[4,4,1,""],explainParam:[4,1,1,""],setStepSize:[4,1,1,""],setNumPartitions:[4,1,1,""],getNumPartitions:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setMaxIter:[4,1,1,""],setMaxSentenceLength:[4,1,1,""],setWindowSize:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],getMinCount:[4,1,1,""],vectorSize:[4,4,1,""],minCount:[4,4,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.mllib.feature.IDFModel":{idf:[5,1,1,""],transform:[5,1,1,""]},"pyspark.ml.regression.GeneralizedLinearRegressionModel":{load:[4,3,1,""],hasSummary:[4,4,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],explainParam:[4,1,1,""],intercept:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],coefficients:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],summary:[4,4,1,""],numFeatures:[4,4,1,""]},"pyspark.ml.feature.PCA":{load:[4,3,1,""],getK:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],setK:[4,1,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],hasParam:[4,1,1,""],k:[4,4,1,""]},"pyspark.ml.tuning.ParamGridBuilder":{addGrid:[4,1,1,""],build:[4,1,1,""],baseOn:[4,1,1,""]},"pyspark.mllib.regression.LinearRegressionModel":{load:[5,3,1,""],predict:[5,1,1,""],save:[5,1,1,""],weights:[5,4,1,""],intercept:[5,4,1,""]},"pyspark.mllib.recommendation":{Rating:[5,5,1,""],MatrixFactorizationModel:[5,5,1,""],ALS:[5,5,1,""]},"pyspark.mllib.fpm":{FPGrowthModel:[5,5,1,""],PrefixSpanModel:[5,5,1,""],PrefixSpan:[5,5,1,""],FPGrowth:[5,5,1,""]},"pyspark.ml.classification.BinaryLogisticRegressionTrainingSummary":{pr:[4,4,1,""],roc:[4,4,1,""],recallByThreshold:[4,4,1,""],probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],precisionByThreshold:[4,4,1,""],totalIterations:[4,4,1,""],fMeasureByThreshold:[4,4,1,""],objectiveHistory:[4,4,1,""],areaUnderROC:[4,4,1,""]},"pyspark.Broadcast":{load:[1,1,1,""],destroy:[1,1,1,""],unpersist:[1,1,1,""],dump:[1,1,1,""],value:[1,4,1,""]},"pyspark.mllib.clustering.KMeans":{train:[5,3,1,""]},"pyspark.mllib.classification.NaiveBayesModel":{predict:[5,1,1,""],load:[5,3,1,""],save:[5,1,1,""]},"pyspark.streaming.StreamingListener":{onBatchSubmitted:[3,1,1,""],onReceiverStarted:[3,1,1,""],Java:[3,5,1,""],onOutputOperationStarted:[3,1,1,""],onBatchCompleted:[3,1,1,""],onReceiverError:[3,1,1,""],onBatchStarted:[3,1,1,""],onReceiverStopped:[3,1,1,""],onOutputOperationCompleted:[3,1,1,""]},"pyspark.ml.clustering.DistributedLDAModel":{load:[4,3,1,""],logPrior:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],logPerplexity:[4,1,1,""],getCheckpointFiles:[4,1,1,""],extractParamMap:[4,1,1,""],vocabSize:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],isDistributed:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],topicsMatrix:[4,1,1,""],read:[4,3,1,""],describeTopics:[4,1,1,""],trainingLogLikelihood:[4,1,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],toLocal:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],logLikelihood:[4,1,1,""],estimatedDocConcentration:[4,1,1,""]},"pyspark.ml.regression.GBTRegressor":{getCheckpointInterval:[4,1,1,""],load:[4,3,1,""],getMinInfoGain:[4,1,1,""],copy:[4,1,1,""],setImpurity:[4,1,1,""],setCacheNodeIds:[4,1,1,""],getLossType:[4,1,1,""],setMinInstancesPerNode:[4,1,1,""],hasDefault:[4,1,1,""],supportedLossTypes:[4,4,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],maxIter:[4,4,1,""],getSeed:[4,1,1,""],maxMemoryInMB:[4,4,1,""],setParams:[4,1,1,""],subsamplingRate:[4,4,1,""],getMaxDepth:[4,1,1,""],setMinInfoGain:[4,1,1,""],setSubsamplingRate:[4,1,1,""],checkpointInterval:[4,4,1,""],supportedImpurities:[4,4,1,""],impurity:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],setMaxDepth:[4,1,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],stepSize:[4,4,1,""],params:[4,4,1,""],minInfoGain:[4,4,1,""],getMaxMemoryInMB:[4,1,1,""],isSet:[4,1,1,""],lossType:[4,4,1,""],setFeaturesCol:[4,1,1,""],getSubsamplingRate:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setStepSize:[4,1,1,""],getCacheNodeIds:[4,1,1,""],maxDepth:[4,4,1,""],getParam:[4,1,1,""],cacheNodeIds:[4,4,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],setMaxIter:[4,1,1,""],getMaxBins:[4,1,1,""],getImpurity:[4,1,1,""],save:[4,1,1,""],predictionCol:[4,4,1,""],setMaxMemoryInMB:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],getMinInstancesPerNode:[4,1,1,""],getStepSize:[4,1,1,""],setLossType:[4,1,1,""],setCheckpointInterval:[4,1,1,""],getMaxIter:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.mllib.classification.LogisticRegressionWithSGD":{train:[5,3,1,""]},"pyspark.sql.types.ByteType":{simpleString:[2,1,1,""]},"pyspark.ml.regression.RandomForestRegressionModel":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],treeWeights:[4,4,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],toDebugString:[4,4,1,""],featureImportances:[4,4,1,""],trees:[4,4,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],totalNumNodes:[4,4,1,""],getNumTrees:[4,4,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],numFeatures:[4,4,1,""]},"pyspark.sql.types":{StructType:[2,5,1,""],LongType:[2,5,1,""],TimestampType:[2,5,1,""],IntegerType:[2,5,1,""],FloatType:[2,5,1,""],DataType:[2,5,1,""],StringType:[2,5,1,""],StructField:[2,5,1,""],ArrayType:[2,5,1,""],NullType:[2,5,1,""],BinaryType:[2,5,1,""],ByteType:[2,5,1,""],BooleanType:[2,5,1,""],ShortType:[2,5,1,""],DateType:[2,5,1,""],DoubleType:[2,5,1,""],DecimalType:[2,5,1,""],MapType:[2,5,1,""]},"pyspark.mllib.tree.DecisionTree":{trainRegressor:[5,3,1,""],trainClassifier:[5,3,1,""]},"pyspark.ml.feature.HashingTF":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],setBinary:[4,1,1,""],setNumFeatures:[4,1,1,""],getParam:[4,1,1,""],getBinary:[4,1,1,""],setParams:[4,1,1,""],outputCol:[4,4,1,""],binary:[4,4,1,""],getNumFeatures:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],numFeatures:[4,4,1,""]},"pyspark.ml.classification.OneVsRestModel":{load:[4,3,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],featuresCol:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],transform:[4,1,1,""],getClassifier:[4,1,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],setClassifier:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getFeaturesCol:[4,1,1,""],isDefined:[4,1,1,""],classifier:[4,4,1,""]},"pyspark.sql.WindowSpec":{orderBy:[2,1,1,""],rangeBetween:[2,1,1,""],partitionBy:[2,1,1,""],rowsBetween:[2,1,1,""]},"pyspark.mllib.tree.GradientBoostedTrees":{trainRegressor:[5,3,1,""],trainClassifier:[5,3,1,""]},"pyspark.ml.feature.Normalizer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],getP:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setP:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],p:[4,4,1,""]},"pyspark.ml.linalg":{Matrix:[4,5,1,""],SparseVector:[4,5,1,""],Vectors:[4,5,1,""],Vector:[4,5,1,""],DenseMatrix:[4,5,1,""],DenseVector:[4,5,1,""],Matrices:[4,5,1,""],SparseMatrix:[4,5,1,""]},"pyspark.ml.param.Params":{extractParamMap:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],hasDefault:[4,1,1,""],isDefined:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.streaming.DStream":{combineByKey:[3,1,1,""],reduce:[3,1,1,""],mapPartitionsWithIndex:[3,1,1,""],repartition:[3,1,1,""],groupByKey:[3,1,1,""],updateStateByKey:[3,1,1,""],countByValue:[3,1,1,""],slice:[3,1,1,""],union:[3,1,1,""],reduceByKeyAndWindow:[3,1,1,""],pprint:[3,1,1,""],transform:[3,1,1,""],checkpoint:[3,1,1,""],reduceByKey:[3,1,1,""],window:[3,1,1,""],leftOuterJoin:[3,1,1,""],persist:[3,1,1,""],flatMapValues:[3,1,1,""],map:[3,1,1,""],flatMap:[3,1,1,""],saveAsTextFiles:[3,1,1,""],glom:[3,1,1,""],rightOuterJoin:[3,1,1,""],cache:[3,1,1,""],cogroup:[3,1,1,""],transformWith:[3,1,1,""],reduceByWindow:[3,1,1,""],foreachRDD:[3,1,1,""],partitionBy:[3,1,1,""],countByWindow:[3,1,1,""],count:[3,1,1,""],join:[3,1,1,""],mapValues:[3,1,1,""],groupByKeyAndWindow:[3,1,1,""],filter:[3,1,1,""],fullOuterJoin:[3,1,1,""],context:[3,1,1,""],mapPartitions:[3,1,1,""],countByValueAndWindow:[3,1,1,""]},"pyspark.ml.clustering":{GaussianMixture:[4,5,1,""],GaussianMixtureModel:[4,5,1,""],LDA:[4,5,1,""],LDAModel:[4,5,1,""],BisectingKMeansModel:[4,5,1,""],KMeans:[4,5,1,""],GaussianMixtureSummary:[4,5,1,""],BisectingKMeansSummary:[4,5,1,""],BisectingKMeans:[4,5,1,""],DistributedLDAModel:[4,5,1,""],KMeansModel:[4,5,1,""],LocalLDAModel:[4,5,1,""]},"pyspark.ml.recommendation.ALS":{getCheckpointInterval:[4,1,1,""],load:[4,3,1,""],setRegParam:[4,1,1,""],getSeed:[4,1,1,""],finalStorageLevel:[4,4,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],rank:[4,4,1,""],seed:[4,4,1,""],isDefined:[4,1,1,""],userCol:[4,4,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],itemCol:[4,4,1,""],getRegParam:[4,1,1,""],setIntermediateStorageLevel:[4,1,1,""],getPredictionCol:[4,1,1,""],ratingCol:[4,4,1,""],setAlpha:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],getNumItemBlocks:[4,1,1,""],write:[4,1,1,""],implicitPrefs:[4,4,1,""],setPredictionCol:[4,1,1,""],getUserCol:[4,1,1,""],params:[4,4,1,""],getItemCol:[4,1,1,""],save:[4,1,1,""],intermediateStorageLevel:[4,4,1,""],isSet:[4,1,1,""],getRatingCol:[4,1,1,""],setRatingCol:[4,1,1,""],read:[4,3,1,""],setImplicitPrefs:[4,1,1,""],setNonnegative:[4,1,1,""],setFinalStorageLevel:[4,1,1,""],getImplicitPrefs:[4,1,1,""],setNumUserBlocks:[4,1,1,""],explainParam:[4,1,1,""],setNumItemBlocks:[4,1,1,""],alpha:[4,4,1,""],getOrDefault:[4,1,1,""],checkpointInterval:[4,4,1,""],setMaxIter:[4,1,1,""],copy:[4,1,1,""],regParam:[4,4,1,""],getNumUserBlocks:[4,1,1,""],setUserCol:[4,1,1,""],getNonnegative:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],setRank:[4,1,1,""],numItemBlocks:[4,4,1,""],nonnegative:[4,4,1,""],setSeed:[4,1,1,""],getRank:[4,1,1,""],numUserBlocks:[4,4,1,""],getFinalStorageLevel:[4,1,1,""],getMaxIter:[4,1,1,""],setItemCol:[4,1,1,""],getAlpha:[4,1,1,""],predictionCol:[4,4,1,""],getIntermediateStorageLevel:[4,1,1,""],setCheckpointInterval:[4,1,1,""],setNumBlocks:[4,1,1,""]},"pyspark.mllib.clustering.BisectingKMeansModel":{predict:[5,1,1,""],clusterCenters:[5,4,1,""],k:[5,4,1,""],computeCost:[5,1,1,""]},"pyspark.sql.SparkSession.Builder":{getOrCreate:[2,1,1,""],master:[2,1,1,""],config:[2,1,1,""],enableHiveSupport:[2,1,1,""],appName:[2,1,1,""]},"pyspark.mllib.regression.LassoModel":{predict:[5,1,1,""],save:[5,1,1,""],intercept:[5,4,1,""],weights:[5,4,1,""],load:[5,3,1,""]},"pyspark.mllib.util.LinearDataGenerator":{generateLinearRDD:[5,6,1,""],generateLinearInput:[5,6,1,""]},"pyspark.mllib.regression.IsotonicRegression":{train:[5,3,1,""]},"pyspark.sql.streaming.StreamingQueryManager":{active:[2,4,1,""],resetTerminated:[2,1,1,""],awaitAnyTermination:[2,1,1,""],get:[2,1,1,""]},"pyspark.ml.classification.LogisticRegressionTrainingSummary":{probabilityCol:[4,4,1,""],labelCol:[4,4,1,""],predictions:[4,4,1,""],featuresCol:[4,4,1,""],totalIterations:[4,4,1,""],objectiveHistory:[4,4,1,""]},"pyspark.mllib.regression.IsotonicRegressionModel":{load:[5,3,1,""],predict:[5,1,1,""],save:[5,1,1,""]},"pyspark.ml.feature.VectorIndexer":{load:[4,3,1,""],getOutputCol:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],maxCategories:[4,4,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],getMaxCategories:[4,1,1,""],setMaxCategories:[4,1,1,""]},"pyspark.sql.Window":{orderBy:[2,6,1,""],unboundedFollowing:[2,4,1,""],rangeBetween:[2,6,1,""],unboundedPreceding:[2,4,1,""],currentRow:[2,4,1,""],rowsBetween:[2,6,1,""],partitionBy:[2,6,1,""]},"pyspark.mllib.clustering.GaussianMixtureModel":{load:[5,3,1,""],predict:[5,1,1,""],k:[5,4,1,""],predictSoft:[5,1,1,""],gaussians:[5,4,1,""],weights:[5,4,1,""]},"pyspark.ml.regression.RandomForestRegressor":{load:[4,3,1,""],getCheckpointInterval:[4,1,1,""],getMinInfoGain:[4,1,1,""],getSeed:[4,1,1,""],setImpurity:[4,1,1,""],setCacheNodeIds:[4,1,1,""],featureSubsetStrategy:[4,4,1,""],hasDefault:[4,1,1,""],setNumTrees:[4,1,1,""],setMaxBins:[4,1,1,""],seed:[4,4,1,""],getParam:[4,1,1,""],getMaxDepth:[4,1,1,""],setFeatureSubsetStrategy:[4,1,1,""],subsamplingRate:[4,4,1,""],maxMemoryInMB:[4,4,1,""],setMinInfoGain:[4,1,1,""],setSubsamplingRate:[4,1,1,""],setParams:[4,1,1,""],cacheNodeIds:[4,4,1,""],impurity:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],supportedFeatureSubsetStrategies:[4,4,1,""],numTrees:[4,4,1,""],params:[4,4,1,""],setPredictionCol:[4,1,1,""],minInfoGain:[4,4,1,""],getMaxMemoryInMB:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],getSubsamplingRate:[4,1,1,""],getFeatureSubsetStrategy:[4,1,1,""],read:[4,3,1,""],getFeaturesCol:[4,1,1,""],setFeaturesCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMinInstancesPerNode:[4,1,1,""],maxDepth:[4,4,1,""],supportedImpurities:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getMaxBins:[4,1,1,""],setMinInstancesPerNode:[4,1,1,""],getImpurity:[4,1,1,""],save:[4,1,1,""],getNumTrees:[4,1,1,""],predictionCol:[4,4,1,""],setMaxMemoryInMB:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],checkpointInterval:[4,4,1,""],isDefined:[4,1,1,""],setSeed:[4,1,1,""],minInstancesPerNode:[4,4,1,""],getCacheNodeIds:[4,1,1,""],setMaxDepth:[4,1,1,""],setCheckpointInterval:[4,1,1,""],maxBins:[4,4,1,""]},"pyspark.streaming.kinesis":{InitialPositionInStream:[3,5,1,""],utf8_decoder:[3,2,1,""],KinesisUtils:[3,5,1,""]},"pyspark.ml.param":{TypeConverters:[4,5,1,""],Params:[4,5,1,""],Param:[4,5,1,""]},"pyspark.ml.feature.ElementwiseProduct":{load:[4,3,1,""],hasParam:[4,1,1,""],getInputCol:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],setScalingVec:[4,1,1,""],getScalingVec:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],inputCol:[4,4,1,""],save:[4,1,1,""],scalingVec:[4,4,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],setInputCol:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],isDefined:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.evaluation.RegressionEvaluator":{load:[4,3,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],setMetricName:[4,1,1,""],setParams:[4,1,1,""],setPredictionCol:[4,1,1,""],predictionCol:[4,4,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],getPredictionCol:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],read:[4,3,1,""],evaluate:[4,1,1,""],getLabelCol:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],getMetricName:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],isDefined:[4,1,1,""],isLargerBetter:[4,1,1,""],metricName:[4,4,1,""]},"pyspark.ml.feature.StringIndexerModel":{load:[4,3,1,""],write:[4,1,1,""],copy:[4,1,1,""],hasParam:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],labels:[4,4,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],explainParam:[4,1,1,""],params:[4,4,1,""],getParam:[4,1,1,""],getOrDefault:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.mllib.fpm.FPGrowthModel":{freqItemsets:[5,1,1,""],load:[5,3,1,""]},"pyspark.mllib.evaluation.BinaryClassificationMetrics":{unpersist:[5,1,1,""],areaUnderPR:[5,4,1,""],areaUnderROC:[5,4,1,""]},"pyspark.mllib.regression.StreamingLinearRegressionWithSGD":{predictOn:[5,1,1,""],latestModel:[5,1,1,""],setInitialWeights:[5,1,1,""],trainOn:[5,1,1,""],predictOnValues:[5,1,1,""]},"pyspark.sql.types.IntegerType":{simpleString:[2,1,1,""]},"pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary":{numIterations:[4,4,1,""],residualDegreeOfFreedomNull:[4,4,1,""],pValues:[4,4,1,""],predictionCol:[4,4,1,""],solver:[4,4,1,""],deviance:[4,4,1,""],predictions:[4,4,1,""],rank:[4,4,1,""],dispersion:[4,4,1,""],tValues:[4,4,1,""],residuals:[4,1,1,""],residualDegreeOfFreedom:[4,4,1,""],coefficientStandardErrors:[4,4,1,""],degreesOfFreedom:[4,4,1,""],nullDeviance:[4,4,1,""],aic:[4,4,1,""]},"pyspark.sql.types.LongType":{simpleString:[2,1,1,""]},"pyspark.ml.feature.VectorAssembler":{load:[4,3,1,""],hasParam:[4,1,1,""],setInputCols:[4,1,1,""],hasDefault:[4,1,1,""],getParam:[4,1,1,""],outputCol:[4,4,1,""],setParams:[4,1,1,""],extractParamMap:[4,1,1,""],transform:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],setOutputCol:[4,1,1,""],read:[4,3,1,""],explainParam:[4,1,1,""],getInputCols:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],explainParams:[4,1,1,""],getOutputCol:[4,1,1,""],inputCols:[4,4,1,""],isDefined:[4,1,1,""]},"pyspark.mllib.util.Loader":{load:[5,3,1,""]},"pyspark.ml.regression.GeneralizedLinearRegression":{load:[4,3,1,""],setRegParam:[4,1,1,""],hasParam:[4,1,1,""],getFamily:[4,1,1,""],family:[4,4,1,""],getParam:[4,1,1,""],hasDefault:[4,1,1,""],setTol:[4,1,1,""],maxIter:[4,4,1,""],setParams:[4,1,1,""],getRegParam:[4,1,1,""],getPredictionCol:[4,1,1,""],getLinkPredictionCol:[4,1,1,""],fit:[4,1,1,""],getFeaturesCol:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],setLinkPredictionCol:[4,1,1,""],write:[4,1,1,""],read:[4,3,1,""],params:[4,4,1,""],tol:[4,4,1,""],setLink:[4,1,1,""],setMaxIter:[4,1,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],setPredictionCol:[4,1,1,""],setSolver:[4,1,1,""],fitIntercept:[4,4,1,""],linkPredictionCol:[4,4,1,""],setFeaturesCol:[4,1,1,""],getFitIntercept:[4,1,1,""],setLabelCol:[4,1,1,""],explainParam:[4,1,1,""],link:[4,4,1,""],weightCol:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],getTol:[4,1,1,""],regParam:[4,4,1,""],predictionCol:[4,4,1,""],solver:[4,4,1,""],setFamily:[4,1,1,""],setFitIntercept:[4,1,1,""],extractParamMap:[4,1,1,""],isDefined:[4,1,1,""],setWeightCol:[4,1,1,""],getLink:[4,1,1,""],getWeightCol:[4,1,1,""],getSolver:[4,1,1,""],explainParams:[4,1,1,""],getMaxIter:[4,1,1,""]},"pyspark.ml.classification.MultilayerPerceptronClassificationModel":{layers:[4,4,1,""],explainParam:[4,1,1,""],save:[4,1,1,""],extractParamMap:[4,1,1,""],read:[4,3,1,""],explainParams:[4,1,1,""],hasParam:[4,1,1,""],load:[4,3,1,""],transform:[4,1,1,""],isDefined:[4,1,1,""],hasDefault:[4,1,1,""],write:[4,1,1,""],params:[4,4,1,""],numFeatures:[4,4,1,""],getParam:[4,1,1,""],weights:[4,4,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],isSet:[4,1,1,""]},"pyspark.ml.feature.RFormula":{load:[4,3,1,""],hasParam:[4,1,1,""],getForceIndexLabel:[4,1,1,""],setFormula:[4,1,1,""],getParam:[4,1,1,""],setForceIndexLabel:[4,1,1,""],setParams:[4,1,1,""],forceIndexLabel:[4,4,1,""],fit:[4,1,1,""],extractParamMap:[4,1,1,""],labelCol:[4,4,1,""],featuresCol:[4,4,1,""],write:[4,1,1,""],params:[4,4,1,""],getFormula:[4,1,1,""],formula:[4,4,1,""],save:[4,1,1,""],isSet:[4,1,1,""],getLabelCol:[4,1,1,""],read:[4,3,1,""],setFeaturesCol:[4,1,1,""],hasDefault:[4,1,1,""],explainParam:[4,1,1,""],getOrDefault:[4,1,1,""],copy:[4,1,1,""],setLabelCol:[4,1,1,""],explainParams:[4,1,1,""],getFeaturesCol:[4,1,1,""],isDefined:[4,1,1,""]}},titleterms:{"function":2,classif:[4,5],featur:[4,5],stream:[2,3],modul:[2,4,3,5],random:5,pipelin:4,indic:0,kafka:3,cluster:[4,5],api:[0,4],tabl:0,evalu:[4,5],fpm:5,pyspark:[2,4,3,5,1],mllib:5,param:4,content:[3,1],recommend:[4,5],type:2,flume:3,core:0,stat:5,distribut:5,linalg:[4,5],python:0,util:5,sql:2,spark:0,"class":0,tune:4,welcom:0,subpackag:1,packag:[4,5,1],doc:0,tree:5,context:2,regress:[4,5],kinesi:3}})