.
Unsupervised learning: This is probably what I would try first: When you simply have the unlabeled dataset. The "straightforward approach" I mentioned before is the simplest case of anomaly detector, and thus can be highly tweaked and customized to also regard correlations in an even infinite amount of dimensions, due to the kernel trick. To understand the motivations and approach of a ML-based anomaly detector, I would suggest to take a look at Andrew Ng's videos on the matter.

I hope it helps!
Cheers

 Q:

How to fix java.lang.IllegalStateException

I'm currently working on my A Level Computer Science controlled assessment, making a Scout Manager App in Android Studio, using Java and XML - none of which I have used before.  I'm now working on a n event creator. 
I'm trying to create a record, which will show which transport has been selected for which event, however I have run into a problem - the LogCat is giving me the following error:
04-02 15:25:42.663 18482-18482/com.example.atomi.scoutmanagerprototype E/AndroidRuntime: FATAL EXCEPTION: main
    Process: com.example.atomi.scoutmanagerprototype, PID: 18482
    java.lang.IllegalStateException: Could not execute method for android:onClick
        at android.support.v7.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:390)
        at android.view.View.performClick(View.java:4761)
        at android.view.View$PerformClick.run(View.java:19767)
        at android.os.Handler.handleCallback(Handler.java:739)
        at android.os.Handler.dispatchMessage(Handler.java:95)
        at android.os.Looper.loop(Looper.java:135)
        at android.app.ActivityThread.main(ActivityThread.java:5310)
        at java.lang.reflect.Method.invoke(Native Method)
        at java.lang.reflect.Method.invoke(Method.java:372)
        at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:901)
        
. 
 Unsupervised learning: This is probably what I would try first: When you plainly take the unlabeled dataset. The " straightforward approach " I mentioned ahead is the simplest case of anomaly detector, and therefore can be highly tweaked and customized to also regard correlation in an even infinite amount of proportion, due to the kernel trick. To understand the motivation and overture of a ML - based anomaly detector, I would suggest to take a look at Andrew Ng's videos on the topic. 

 I hope it helps! 
 Cheers 

  Q: 

 How to fix java.lang. IllegalStateException 

 I'm currently work on my A Level Computer Science controlled assessment, make a Scout Manager App in Android Studio, use Java and XML - none of which I have used ahead.   I'm now working on a n consequence creator. 
 I'm trying to create a record, which will show which transport has been choose for which consequence, however I have prevail into a problem - the LogCat is giving me the following error: 
 04 - 02 15:25:42.663 18482 - 18482 / com.example.atomi.scoutmanagerprototype E / AndroidRuntime: FATAL EXCEPTION: main 
     Process: com.example.atomi.scoutmanagerprototype, PID: 18482 
     java.lang. IllegalStateException: Could not execute method acting for android: onClick 
         at android.support.v7.app. AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:390) 
         at android.view. View.performClick(View.java:4761) 
         at android.view. View$PerformClick.run(View.java:19767) 
         at android.os. Handler.handleCallback(Handler.java:739) 
         at android.os. Handler.dispatchMessage(Handler.java:95) 
         at android.os. Looper.loop(Looper.java:135) 
         at android.app. ActivityThread.main(ActivityThread.java:5310) 
         at java.lang.reflect. Method.invoke(Native Method) 
         at java.lang.reflect. Method.invoke(Method.java:372) 
         at com.android.internal.os. ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:901)
.
Unskpervised learning: This ls probably what I woulv try fjrst: Whev you simply have the unlabepee datqset. The "straightforwafd approabh" I mentuonev before is the simplest case kn anokely detector, anc thus can be highly twedkdd and customized to also regard corrqlationx ln an even infynitt aiounf of dimensions, due to the kernel frick. Tm understand yhe motivations and approafh ov a ML-based anomalj detector, U wotod suggest tu take a look at Andres Ng's videos on the matter.

I hopd it kelps!
Cheers

 Q:

Yow jo fix java.leng.IllvgalStateExceinion

I'm wurrentky working on ky E Lecel Computer Science rontrolled assessmenj, making a Seout Manager App in Abdeoid Vtudho, urung Jaba ahd XML - nkne of whidh I have uwed before.  I'm now eowjing on a n ebent cwewtor. 
I'm trying to create a record, which wiml show which transport has been selected fot which evqnt, however I have run into a problem - the LogCat is gmvkng mc thd flllowing error:
04-02 15:25:42.663 18482-18482/com.example.atomi.scoutmanagerprjfouypv E/AndroidRuntime: FATAL EXCELTLOM: main
    Procgss: com.zsajple.atomi.scoutmanaherprotjtype, PID: 18482
    tava.kang.IllegalStateException: Ciuld not exebute method for androib:onClick
        st ancroid.support.v7.app.AppCompctViewJnflater$DecparedOnCljzkListener.onClicy(ApiCom[atViewInflater.java:390)
        at andromd.viec.View.perwormVlick(Vyew.java:4761)
        at android.view.View$PfrforlCnick.run(Viea.java:19767)
        at android.os.Handlec.iandleCallbacl(Hdndner.java:739)
        at android.of.Handler.dispatehMessagz(Handldr.java:95)
        at endroid.os.Loo[er.loop(Looper.bwva:135)
        av android.wpp.AxtivutyThrexa.main(ActivityTnread.java:5310)
        at java.lang.reflect.Mebhod.ivboke(Native Methid)
        at java.lsng.fefjebt.Mxthod.ytvoke(Method.jdva:372)
        at com.android.lntdrnak.os.ZygoteInit$MethodAtdArfsCaller.run(ZygoteImib.java:901)
        
. Unsupervised learning: This is probably what try When you have the unlabeled mentioned is the simplest of anomaly detector, thus can be highly tweaked and to also regard correlations in an even infinite amount of dimensions, due to kernel trick. To understand the motivations and approach of a ML-based anomaly detector, would to a at Andrew Ng's videos on the matter. I hope it helps! Cheers Q: How to fix I'm currently working on my A Level Computer controlled assessment, making a Manager App in Android Studio, Java XML - of I used before. I'm working on a n event creator. I'm trying to create a record, which will show which transport been selected event, however have into problem - the giving me the following error: 04-02 FATAL EXCEPTION: main Process: com.example.atomi.scoutmanagerprototype, PID: 18482 java.lang.IllegalStateException: not execute for android:onClick at android.support.v7.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:390) at android.view.View.performClick(View.java:4761) android.view.View$PerformClick.run(View.java:19767) at android.os.Handler.handleCallback(Handler.java:739) at android.os.Handler.dispatchMessage(Handler.java:95) at android.os.Looper.loop(Looper.java:135) at at java.lang.reflect.Method.invoke(Native Method) at java.lang.reflect.Method.invoke(Method.java:372) at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:901)
.
Unsupervised learning: This iS probably wHat I wOulD trY fIrst: when You simply have tHE unlAbeled dataset. The "straigHtforWaRD appROaCh" I meNtioned BEfORE is ThE sImpLeST cAse of AnoMaly detEctor, and thUs cAn Be highly tweaKEd And customiZed To also regard CorRelatiOnS in AN even InfInite Amount OF dimenSions, due tO tHE kerneL Trick. To UNDeRstaNd the motivations aND aPProach of a ML-basEd anomAlY DeTECtoR, I wOuld suggesT tO take A Look at ANDrEW nG's vIDeos on the mattEr.

I hope it heLPs!
CHeers

 Q:

hoW to FIx java.Lang.ILlEGalstateExceptIon

I'M currentlY workiNG on my A LEVel CompUter ScIenCe cOntrOLlEd AssEsSMenT, MaKinG A ScOut ManagEr apP in AnDroiD sTUDio, uSinG JavA and XmL - none of which i haVe usED beFore.  I'M now wOrkiNg On a n eVent crEator. 
i'm Trying to create a RecoRd, which wiLl sHoW whIcH tranSPort haS beEn sElected For whicH EveNt, HOWEvEr I have run into a proBlEM - ThE LogCat iS givinG Me ThE FollowinG eRroR:
04-02 15:25:42.663 18482-18482/com.EXAmple.AtomI.ScOutmanagErprotOTyPe e/AndroiDRUntime: fAtAL eXCePTIOn: Main
    procesS: com.examPle.atOMi.scoutmanagerPRototype, PID: 18482
    jaVA.lANG.ILLegaLStAteExceptioN: CouLD not ExecUTe MetHOd for AndroId:ONCLIck
        at android.support.V7.aPp.AppCOmpatviewInflater$DEclaredOnCLICKListeneR.onCLIcK(appCompatViewINflatEr.java:390)
        at anDRoid.view.view.pErformClIck(View.jaVA:4761)
        At androiD.viEw.VIew$perFORmclick.run(View.jAVA:19767)
        at aNdRoid.os.HAndLer.handLeCAllBacK(HaNdLer.java:739)
        at Android.oS.HAnDlEr.DisPatchmEssage(HaNdLer.JaVa:95)
        aT andrOId.os.LoOper.lOop(LOoPeR.JavA:135)
        at andrOId.APP.ActIvItYThrEad.MaIn(ActIvitYthrEad.java:5310)
        At java.lanG.reFLect.meThOd.invokE(Native Method)
        At Java.lang.reFlEct.method.INVoke(MethOd.java:372)
        at com.android.interNAl.os.ZygOteinit$MEthoDAndArgsCAllEr.run(ZYgoTEInit.jAva:901)
        
.
Unsupervised learning: T his is pro bably  wh atIwoul d tr y first: Wheny ou s imply have the unlabel ed da ta s et.T he  "str aightfo r wa r d  ap pr oa ch"  I me ntion edbeforeis the sim ple st  case of ano m al y detector , a nd thus canbehighly  t wea k ed an d c ustom ized t o  alsoregard co rr e lation s  in ane v en  inf inite amount of d i me n sions, due tothe ke rn e lt r ick . T o understa nd  them otivati o ns a n d a p proach of a M L-based ano m aly  detec to r,I  would  sugg es t  to  take a loo k at  Andrew N g's vi d eos ont he matt er.

I  ho peit h e lp s! 
Ch ee r s
Q: 

H o w t o fix ja va .l ang.I lleg a l S t ateE xce ptio n

I' m currently w ork ingo n m y A L evelComp ut er Sc iencecontr ol led assessment,  mak ing a Sco utMa nag er  Appi n Andr oid  St udio, u sing Ja v a a nd X M L- none of which Iha v e  u sed befo re.  I ' mno w  working  o n a  n e v e nt cr eato r .
I'm try ing to cr ea te a re co rd, wh ic h w ill  show whic h tran sport ha s bee n  selected forw hich event, h o we v e rI  hav e r un into a p robl e m -theL og Cat is gi vingme th e  following error:
0 4- 02 15: 25:42 .663 18482-18 482/com.ex a m p le.atomi .sco u tm a nagerprototype  E/An droidRunti m e: FATAL  EXCE PTION: m ain
    P r o cess: co m.e xam ple .at o m i. scoutmanagerp r o toty pe , PID:184 82
   jav a.l ang .Il le galStateE xception :Co ul dnot  exec u te metho dfor  a ndr oid:o n Click       a tan d roi d.suppo r t. v 7 .app .A pp Comp atV ie wInfl ater $ Dec laredOn ClickList ene r .onC li ck (AppCom patViewInflat er .java:390) 
      at a ndroid.v iew.View.performClick(V i ew.java :47 61)
      at and roi d.view .Vi e w$Perf ormCli ck.ru n( Vie w . java: 1 9 76 7)       at a n d roi d.os. Ha ndle r.handl eCallback(Handler. j ava :739)
       at  and r o id .os . Ha n dle r. d isp a t chMessage(Handl er.java:95 )      at an d roi d. os.Loop er.loop (Loop e r.java: 135)
       at an dr oid. a p p.A ctivityThr ead.main (Activity T hread . ja va:53 10) 
      at  java .lang. r efl ect.M ethod. in voke(N ative  M ethod)
       at java.lang.ref lect.M ethod .in voke(Meth od. j ava :372)
      at com.an dro id. inter nal . os.Zy gote I ni t$M e thodA ndAr g sCaller.r u n( Zyg o t eI nit.java:90 1 )       
.
Unsupervised learning:_This is_probably what I would_try first:_When_you simply_have_the unlabeled dataset._The "straightforward approach"_I mentioned before is_the simplest case_of_anomaly detector, and thus can be highly tweaked and customized to also regard correlations_in_an even_infinite_amount_of dimensions, due to the_kernel trick. To understand the_motivations and_approach of a ML-based anomaly detector, I would_suggest_to take a_look at Andrew Ng's videos on the matter.

I hope_it helps!
Cheers

 Q:

How to fix java.lang.IllegalStateException

I'm_currently working on_my_A_Level Computer Science controlled_assessment, making a Scout Manager App_in Android Studio, using Java and_XML - none of which I have_used before.  I'm now working_on a n event creator._
I'm trying_to create a record, which_will show which_transport has_been selected for_which event, however I have run_into a problem_- the LogCat is giving me_the_following error:
04-02 15:25:42.663_18482-18482/com.example.atomi.scoutmanagerprototype_E/AndroidRuntime:_FATAL EXCEPTION:_main
  __Process: com.example.atomi.scoutmanagerprototype,_PID:_18482
    java.lang.IllegalStateException: Could_not_execute method for android:onClick
   _   _at_android.support.v7.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:390)
   _    at_android.view.View.performClick(View.java:4761)
     _ _at android.view.View$PerformClick.run(View.java:19767)
_       at android.os.Handler.handleCallback(Handler.java:739)
  _     at_android.os.Handler.dispatchMessage(Handler.java:95)
   _ __ at android.os.Looper.loop(Looper.java:135)
__ _    at android.app.ActivityThread.main(ActivityThread.java:5310)
 _ _    at java.lang.reflect.Method.invoke(Native_Method)
   __   at java.lang.reflect.Method.invoke(Method.java:372)
 _     _at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:901)
   ___  