+ h 1Rt^RIt^RIt^RIt^RIt^RIt^RIt^RIHt^RI H t ^RI H t H t ^RIHtRs.ROtRRltRt!RR ] 4t!R R 4t]R 8Xd^R IHtHtRt]!]]4tR#R#)z; Classifiers that make use of the external 'Weka' package. N)stdin) ClassifierI) config_javajava)DictionaryProbDistcd\4VeVs\Ef\pR\P9d(VP ^\PR,4VFp\P P\P PVR44'gKH\P PVR4s\\4pV'd\R\ RV R24M\R\,4\\4K \f \R4hR#)NWEKAHOMEzweka.jarz [Found Weka: z (version z)]z[Found Weka: %s]zUnable to find weka.jar! Use config_weka() or set the WEKAHOME environment variable. For more information about Weka, please see https://www.cs.waikato.ac.nz/ml/weka/) r_weka_classpath _weka_searchosenvironinsertpathexistsjoin_check_weka_versionprint LookupError) classpath searchpathrversions& 4/usr/lib/python3/dist-packages/nltk/classify/weka.py config_wekar"sM#!  #   aJ!7 8Dww~~bggll4<=="$'',,tZ"@-o>M/):*WIRPQ,>?#O4 4  c\P!V4pTP R4TP 4# \\3dhR#;i \ dTP 4R#i;i TP 4i;i)Nzweka/core/version.txt)zipfileZipFile SystemExitKeyboardInterruptreadcloseKeyError)jarzfs& rrrCs| __S !  7723   ) *       s,;AA A3A62A33A66Bc za]tRt^StoRtRtRtRtRtRt RRR R R R R RRRRR/t ] R.R3Rl4t Rt VtR#)WekaClassifiercWnW nR#N _formatter_model)self formattermodel_filenames&&&r__init__WekaClassifier.__init__Ts #$ rc*VPV.RO4#)-p)r10z -distribution_classify_manyr+ featuresetss&&rprob_classify_many!WekaClassifier.prob_classify_manyXs"";0LMMrc*VPVRR.4#)r1r2r3r5s&&r classify_manyWekaClassifier.classify_many[s"";s <r?fs &&& rr4WekaClassifier._classify_many^s[ ##%% GGLL;?M OO ! !- =4    C $)!!   Vf3v=$" %%JV%STT))&--*G*M*Md*STZZ) "'',,x34* HHX ZZ) "'',,x34* HHX sBE<5A E<> V V>CBiXid::<1DJJLO))#.q11iX X 1X^^ "  ""I%D::<?,,TZZ\"-=>% XX3U1X > >05FODJJLOOF Fc d #!&q* +YGs$)G1G"G?*GG 0G  naivebayesr=C4.5zweka.classifiers.trees.J48log_regressionz#weka.classifiers.functions.Logisticsvmzweka.classifiers.functions.SMOkstarzweka.classifiers.lazy.KStarripperzweka.classifiers.rules.JRipTc \4\PV4p\P!4p\ P PVR4pVPW4W0P9dVPV,p M3W0PP49dTp M\RV,4hV RVRV.p V \V4, p V'd\Pp MRp \V \ V R7\#Wa4\ P$!V4F6p \ P&!\ P PW|44K8 \ P(!V4# \ P$!T4F6p \ P&!\ P PY|44K8 \ P(!T4i;i)z train.arffzUnknown classifier %sz-dz-tN)rr>)rARFF_Formatter from_trainrArBr rrrC_CLASSIFIER_CLASSvaluesrFlistrDrErr r%rKrLrM) clsr-r6 classifierrNquietr,rOtrain_filename javaclassrQr>rRs &&&&&& rtrainWekaClassifier.trainsR  #--k: ##% WW\\(LAN OON 822211*= 44;;==&  !8:!EFFdND.IC 4= C#  ?")<ZZ) "'',,x34* HHX ZZ) "'',,x34* HHX s CE55A(Gr(N)__name__ __module__ __qualname____firstlineno__r.r7r:r4r^rGr{ classmethodr__static_attributes____classdictcell__ __classdict__s@rr%r%Sss%N=*X) !b 9,? /./    **rr%cba]tRt^toRtRtRtRtRt] R4t Rt R R lt R t R tVtR#) ryz Converts featuresets and labeled featuresets to ARFF-formatted strings, appropriate for input into Weka. Features and classes can be specified manually in the constructor, or may be determined from data using ``from_train``. c WnW nR#)z :param labels: A list of all class labels that can be generated. :param features: A list of feature specifications, where each feature specification is a tuple (fname, ftype); and ftype is an ARFF type string such as NUMERIC or STRING. N)_labels _features)r+rZfeaturess&&&rr.ARFF_Formatter.__init__s !rc NVP4VPV4,#)zBReturns a string representation of ARFF output for the given data.)header_section data_section)r+tokenss&&rformatARFF_Formatter.format s!""$t'8'8'@@@rc ,\VP4#)zReturns the list of classes.)r}r)r+s&rrZARFF_Formatter.labelssDLL!!rc \VR4'g \VR4pVPVPV44VP 4R#)z.Writes ARFF data to a file for the given data.rCwN)hasattropenrCrr )r+outfilers&&&rrCARFF_Formatter.writes9w((7C(G dkk&)* rc 6VUUu0uFwrVkK ppp/pVFwrVP4FwrV\\V4\4'dRpMg\\V4\\ \34'dRpM:\\V4\ 4'dRpMVfK|\RX,4hVPWW4V8wd\RV,4hWtV&K K \VP44p\W44#uuppi)z Constructs an ARFF_Formatter instance with class labels and feature types determined from the given data. Handles boolean, numeric and string (note: not nominal) types. z {True, False}NUMERICSTRINGzUnsupported value type %rzInconsistent type for %s) items issubclasstypeboolintrWstrrFgetsortedry)rtoklabelrZrfnamefvalftypes& rrzARFF_Formatter.from_trains-33FLS%F3 JC"yy{ d4j$//+ET S%,>??%ET C00$E\$%@5%HII<<-6$%?%%GHH"' +! (..*+f//-4s Dc R R\P!4,,pVR, pVPFwr#VRV:R RV: R2, pK VRR:R RR PVP4: R 2, pV#) z#Returns an ARFF header as a string.z%% %s z@RELATION rel z @ATTRIBUTE 30 r@z-label-z {,z} z3% Weka ARFF file % Generated automatically by NLTK )timectimerrr)r+r[rrs& rrARFF_Formatter.header_section9sp 4DJJL( )   !NNLE E59 9A+ )SXXdll5K LLrNc  xVf(T;'d\V^,\\34pV'gVUu.uFq3R3NK ppRpVFgwr5VPF3wrgVRVP VP V44,, pK5 VRVP V4,, pKi V#uupi)aY Returns the ARFF data section for the given data. :param tokens: a list of featuresets (dicts) or labelled featuresets which are tuples (featureset, label). :param labeled: Indicates whether the given tokens are labeled or not. If None, then the tokens will be assumed to be labeled if the first token's value is a tuple or list. Nz @DATA z%s,z%s ) isinstancetupler}r _fmt_arff_valr)r+rlabeledrr[rrrs&&& rrARFF_Formatter.data_sectionNs ?EEF1It}!EG-34VcDkVF4  JC $ UT//???!/ $,,U33 3A! 5s B7cVfR#\V\\34'd RV,#\V\4'd RV,#RV,#)N?z%sz%r)rrrrW)r+rs&&rrARFF_Formatter._fmt_arff_valhsF < tSk * *$;  e $ $$; $; r)rrr')rrrr__doc__r.rrZrC staticmethodrzrrrrrrs@rryrysG "A"00>*4rry__main__)binary_names_demo_features names_democ0\PRVR4#)z/tmp/name.modelrs)r%r)r6s&rmake_classifierrvs##$5{FKKr).z/usr/share/wekaz/usr/local/share/wekaz /usr/lib/wekaz/usr/local/lib/wekar')rr rUrDrArrsysrnltk.classify.apirnltk.internalsrrnltk.probabilityrr r rrr%ryrnltk.classify.utilrrrrrrrs  ),/  B  `[`Fzzz zILO-GHJ r