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#version: 0.2 Ġ Ġ ĠĠ ĠĠ ĠĠ Ġ ĠĠĠĠ ĠĠĠĠ i n s e ĠĠĠĠ ĠĠĠ a t r e Ċ ĠĠĠ Ċ ĠĠĠĠĠĠĠ o r Ġ = o n Ġ t e r s t Ċ ĠĠĠĠĠĠĠĠ a l a r - - a n l e d e m e Ġ i h e Ġ n Ġ c Ġ f Ġ a l f Ġ p i t Ġ s se lf # # r a m p i on e n c t ĊĠĠĠĠĠĠĠĠ ĠĠĠ l o r o e s Ġ in Ġ o Ġt he Ġ d -- -- Ġ ' l a u t = = in g p e Ġ e Ġ m c o Ċ ĊĠĠĠ Ġ re Ġ " Ġ self g e ) : Ġ b Ġ # e d i c ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ an d Ġ w u r l t i g ' , at a Ġ ( Ġ 1 i s u n s s e l ## ## u e de f l i Ġ 0 a me at e o l se r ) ) or t c e e st Ġo f Ġf or o t u m Ġi f Ġ [ a s d i Ġa s v al i d " " ( ) Ġi s 0 0 Ġt o Ġn p t s t er ] , m a Ċ ĊĠĠĠĠĠĠĠ ra y ur n t urn == == ) , ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ Ġ T on e ar ray q u t h t r mp ort ser t u lt h a Ġ y c h a d re s i z at ion Ġ : v e Ġ def f i mp le se t Ġ r ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ ro m Ġ 2 ---- ---- Ġre turn Ġ N v er y pe m at la b Ġ st i me ] ) Ġ - ' ) c k Ġ and o m i l Ġ * lo t in t Ġ + p t _ _ " , ( ' Ġ" "" ct ion n t ig h a mple d ata Ġ g e x Ċ Ċ #### #### n ame p ar it h k e u p Ġas sert ge t Ġc o lab el a b Ġe x Ġt h l in a x f or la ss Ġ S Ġi mport o de r i Ġd ata > > iz e [ ' Ġb e Ġ x de x = ' al l Ġ X qu al ar g Ġn ot en d p ut f rom r ue t ype Ġ or ' : u l le n co l r or p lot p y Ġ h Ġ I a m c on i st ha pe ĠĠĠĠ Ġ Ġ A Ġ u u re p p o w at h Ġ P p re ' ] Ġc on Ġ= = . _ f e o d Ġ ` Ġ C i m Ġt est Ġ de o s Ġ _ ==== ==== en t ĠN one i se t o ( " an s Ġw ith Ġ F e qual Ġ R and om ( [ ar n Ġa x n p Ġ val an ge ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ li st Ġf i Ġ % igh t al se Ġ 3 Ġ me ample s u b i f ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ t est i es Ġre s " ) u st lin e ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ t ime Ġ D r int u es 0 1 . . 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Ġel se arg s d f p ro ar t ex t Ġ al m in N one er s i mport f it p ath b o m o d s c es Ġ L for m or s me nt ma x Ġ on e w b j t a st r p a Ġ { T rue ĠT he [ : in dex Ġ M di ct pe ct at u t e p s p o lo at ######## ######## a ult Ġp ro Ġ an he ck d er Ġ l c lass Ġm at y s >> > ra ise i ve re d a pp co re Ġ >>> ame ter f ig s hape Ġu se a ge s ize it y Ġp lt i r h o atu res w e * * Ġth at Ġ len Ġp ar it e i v Ġf rom ĉ ĉ s amples un ction Ġa re 1 0 i al Ġn um Ġ label -------- -------- Ġo ut le arn Ġst r Ġ G ĠĠĠĠ ĠĠ Ġ / li b Ġp rint Ġ < ro w u mp g re u s Ġm a as sert or m o re Ġres ult b er ar i o c i mat p l Ġn ame ic k Ġw e F alse V al co mp Ġp re m b ĠR e s c Ġt r Ġd f Ġfi le = " Ġ E d ate Ġ 4 Ċ ĠĠĠĠĠ c l p h par se Ġ B m s ( ): Ġ set lo w t y ump y a g ar y pect ed i p Ġ 5 i b Ġ un ri x "" " t rain Val ue i fi par am app end s h st ate it er j o Ġb y il l ig n bj ect Ġ -------- ans form lo g ameter s Ġth is ( ( ut e as k o p fe atures Ġd i ax is it ion ] . ` ` r andom ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ Ġs k ======== ======== z er Ġ list a st ce pt Ġ le ke y ct or a ck d a th od Ġ raise se s r id e f I n en ts st ance Ġt ime Ġ en i le Ġco mp Value Error ĠI f Ġr andom s core n e f o s ing Ġin t [: , ĠT rue Ġ` ` Ġ > at ch c he c s 6 4 Ċ Ġ " : . , Ġo ption Ġ at Ġc lass p ha val ues un d Ġd type an t Ġm ax Ġ W pe c in e for mat or d tr ic Ġex pected at ed Ġf unction en er 9 9 Ġval ues n um p lt Ċ ĊĠĠĠĠĠĠĠĠĠĠĠ Ġ O ad d i de b s in it Ġax is o g Ġb o Ġsk learn s ub at ure Ġr ange Ġ get 1 2 m odel e p s ion re nt val ue ma ge um ns Ġin dex um n er ror ( )) Ġi t F rame Ġp o gre ss Ġp lot Ġc heck res ult Ġdef ault ic es Ġn umpy n el ĠF alse Ġ __ Ġval ue Ġ he Ġm odel di r Ġ* * i x c a v el ro up f rame 00 00 f t p la Ġs hape id th plot lib p ort Ġ ver ing s Ġnum ber g or Ġ all D ata imat or at or me n Ġf e s o a ch R e Ġw h li m at es f loat Ġs o pl it la s ma p Ġn e 2 5 un t s um ra w mo st Ġf loat l l Ġw ill Ġ line Ġ la Ġw he Ġp d ĠRe turn re e me an Ġd ist un c re n w args ol d Ġ .. li ke in ter Ġc an Ġc lf Ġe st Ġin put re ad Ġ ) ar get Ġ \ q ue lo c Ċ ĉ 1 1 th er a ve Ġc h ation s label s in ts n g orm al p i cal e we ight t ext Ġ-------- -- 3 2 l ic ĠP ar men ts Ġoption al li f is ion Ġ[ ] h is Ġm in c y d type col or Ġ Y ut il Ġ z al most Ġ1 0 ĠI n and as ifi er las ses igh ts [ " Ġp a Ġe lif it le b in name s ic al ul d Ċ ĉĉ Ġd o Ġp er param s Ġs h Ġs c Ġn ew c c tr ue in put r ange t ra it s a ct Ġlabel s Ġlo g g ra Ġo s Ġuse d d d p rint Ġf ig Ġ H Ġ j Ġ ---- u al an g Ġt rain Ġ+ = __ ( Ġ[ ' () , g th Ġe ach 2 01 1 5 de d 2 0 ĠReturn s Ġp y ic h ' ], a re id x ut ion se d Ġout put ] [ jo in or k Ġin ter Ġ U st art Ġs ample Ġo bject ĠPar ameters tr ansform Ġ ValueError n ot f a ust er le s on ents ################ ################ ult i 3 3 ar k th on Ġmat plotlib Ġcol or p r er nel d ing Ġn o v ari re q 6 6 : ` le ct Ġc l pre dict č ĊĠĠĠĠĠĠĠ r st Ġ . ĠT his ĊĠĠĠĠĠĠĠĠ Ġ n o p es en s p os qu en Ġf it Ġs ub Ġ @ Ġ ha g er -- - c ision 1 00 Ġ( ' a mp Ċ ĠĠĠĠ i o Ġme thod n ew Ġ 6 u g on t = [ val id ction s out put " ] Ġh as zer os def ault in stance pre d ar d 0 5 Ġmat rix lt er co de e mp l at w idth Ġt ype st e er ies b ase ri b ĠD ata c re E S p en I N ces s ul l a u r ite ' ), Ġ K 8 0 ver t s plit ho uld Ġd ate a y lo ad ta in o k u ct č ĊĠĠĠ E R ] ] v ent pa ce ar s Ġ ! ' ' ĠS e ser ies el d d oc Ġ row k wargs at tr Ġwh ich at s di st en ter } , ' ]) u se Ġs pec if ic lo se comp onents util s Ġc al all y ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ Ġin d ---------------- ---------------- Ġ up 7 5 s ample a k in fo mat rix ot h ar ch Ġc or igh b t ick u ment Ġp os 1 4 g rid ind ow . __ / / a v Ġ one ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ Ġ! = g roup s parse 1 6 A T Ġ ro Ġs hould Ġs up Ġal pha on g sh ow el l mb da n an t t ĠE x s q f n raise s m l en se Ġa pp i py ĊĠĠĠĠĠĠĠĠ ĠĠ b ar w ith Ġis instance b y Ġc ur Ġtr y u de lin es ver age Ġ key Ġs ize c heck c lasses bo x S t co m col umns 4 5 ur ce Ġv ari )) ) Ġha ve = ( co py O N Ġ | le d re ct un i pla ce co unt ) ] Ġ---- --- v i 1 3 c or C lass t itle Ġg ener [ - se ts g es n d c ur p ol 8 8 gress ion co res A R Ġ arg ighb ors Ġm ust r and Ġ V s p m ask ate gor Ġt m f unc in al Ġb in Ġma ke c lf iz ed Ġpro b Ġg iv ar r Ġex cept () . Ġstr ing ' . ow n ra di ns ion ` . iz er Ġi ter zer o me tric pro b 1 9 2 00 Ġon ly Ġu sing g s ax es p on t he In dex Ġi d u ff la y Ġ 8 Ġst art 2 3 j ect at ive i od fig ure ar ange o ff č Ċ s v 0 7 Ġco py C o ** ** de n Ġs parse Ġp ath qu i Ġo ther res h Ġdi ct Ġp andas fe ren i an 2 4 ] )) u le 2 7 Ġ error ([ [ ĠN ot st d Ġme tric t arget an ces lt a me thod Ġ{ } w o t ing tr ans al pha Ġ1 00 tr ib Ġ 7 ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ O R Ġo ver ke ys o f o u t able ĊĠĠĠĠĠĠĠĠ ĠĠĠĠ col umn up le d ot w rite am s bo se Ġc om 1 7 Ġm o 8 5 ĠT est ro p Ġ end ĠC o E qual Ġb ase ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ r t 2 9 ot al 8 4 str ing di m ', ' il d Ġdata set : : Ġ ve ic ense ic e s ort o bject co ef _ , Ġf a ' ): Ġfi rst ĊĊ Ġ Ġcol umns 0 3 or der Data Frame u c Ġgiv en re ate arn ing ĠData Frame Ġd if Ġ{ ' 0 4 Ġcon t Ġs amples Ġs y Ġs p Ġd is an k Ġfe atures ro ss gor ith : // n a n ode ( - vari ance lo ck f unction w ise Ġex p c lose S E che s cs v c ul ma in ad er po ch g end Class ifier ] ]) m on Ġwhe n Ġs ame le ction Ġb ut Ġi mage c at T est r un ] : er y s pace C on ust ers o bj Ġin it arn ings i mage 0 9 b ack Ġfe ature I T r ight T ype tr y Ġcol umn er r )) , ab s c ent Ġs core con d ist ic y le re f v ar Ġin te ' s ty pes ================ ================ Ġpo ints Ġresult s ĠSe e le an " . Ġwe ights 8 6 fi x n orm iz ation Ġsc ipy ul ar } ) Ġax es or y or ds Ġor der Ġtr ansform Ġdate time Ġ 9 m ark le vel s y r c Ġfor mat ol s Ġs ys lo ts pt im A N a ut s cale A L Ġm ore Ġcon tain ra ph ar ge imat ors M E 0 2 Ġa dd Ġ args ] ), Ġme an im um Ġdist rib est imator ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠ te mp t ed s on lo ss Ġpar ameter w ork t en g en a f ens or line ar lic e Ġ qu assert Equal a p gorith m Ġpa ss Ġr un len gth m od f req L E Ġs cal Ġc ase date time ĠL icense ex p c all Ġn ormal d o ific ation P ar Ġr ng ut ed ib le 9 5 Ġn ode S T test ing Ġth an fe ature re g ' t ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ ab il Ġest imator at ter d is m an 0 6 ĊĠĠĠĠ ĊĠĠĠ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ Ġwhe re Ġ lin Ġ.. . Ġp art 8 7 n ormal Ġg rid ' )) me d 9 6 Ġe le Ġname s Ġd oc Ġbe t E x S e s ave P ro Ġ Q ) ): 2 2 re turn par t Ġpar ameters lo b inter cept able s ifi ed Ġre g o und s k Ġn d st ant Ġid x 3 6 po ints e c T ime I D d t Ġthe n se nt 3 5 Ġ q gress or st amp c enter ce ption Ġn on val u ser v e ff o ption result s we ights we en at er I C le ft Ġver sion file name ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ um er Ġlo ad ĠS eries ver sion de lta ol y lab le n umpy Ġs ol o o b u ĠF or n al ra m re quen ast ype t x a c Ġm ode Ġlo c Ġ J Ġs ign Ġi m s pec Ġs ort Ġsup port mat h t on '] . s cal Ġa ct ime nsion Ġ' '' s g i ent Ġo pen Ġt ext Ġval id 1 8 Ġt arget u ments ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ Ġk ernel up date Ġan y b e con fig ss ion de nt Ġm ask C ol pa ck mo ve gra ph Ġ[ [ 3 4 g r Ġre ad Ġs um ctor y ro und A r ite ms A S c v Ġdo es resh old Ġc v m is ind ices t ml a ss Ġr ight di ctions res hape Ġw ork Ġy ou Ġcur rent ver se . """ on es l ate e ar č ĊĠĠĠĠĠĠĠĠĠĠĠ l p v ide tt p ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ Ġs cale est imators par k cl uster Ġco de m y it ive F ile Ġver bose Ġin stance Ġt wo n ect Ġin to b atch id s ig ma quen ce 5 0 3 9 Ġg roup Ġnd array feren ce Ġlen gth k ernel es s py plot au ss fi lter jo bs Ġm od N ame e ps Ġtr ans 2 6 y thon ut h U T in ed Ġen umer Ġ< = .. . fa ce n er Ġbo ol Ġa ss n on he re S V Ġa v o ur ut es ( { Ġcl uster Ġt f Ġt emp R E ne ighbors Ġenumer ate st ack cl usters ] ], at io Ġt ra Ġi r s cores 7 7 if y st ep y label Ġe d Ġ> = con t Ġa c : ] row s li p sub plot ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ Ġd imension mple ment Ġt uple col s M e s ign pe d 5 5 Ġpre dict l s po int fi ll Ġb atch cl ude g n ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ Ġm ulti Ġcon fig Ġbet ween am ma o us _ ) Ġk wargs c m O D w w tick s le gend co v Ġor ig 3 0 Ġf req Ġal so per ty 8 9 Ġma y Ġof f mp l _ . 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