§ ýìNg(ãó@—ddlmZmZddlmZGd„de¬¦«ZdS)é)ÚABCMetaÚabstractmethod)ÚDictionaryProbDistcón—eZdZdZed d„¦«Zed„¦«Zd„Zd„Zed„¦«Z d„Z d „Z d S) ÚClusterIz< Interface covering basic clustering functionality. Fcó—dS)zš Assigns the vectors to clusters, learning the clustering parameters from the data. Returns a cluster identifier for each vector. N©)ÚselfÚvectorsÚassign_clusterss úL/var/www/html/ai-engine/env/lib/python3.11/site-packages/nltk/cluster/api.pyÚclusterzClusterI.clusteró€€€ócó—dS)z€ Classifies the token into a cluster, setting the token's CLUSTER parameter to that cluster identifier. Nr )r Útokens r ÚclassifyzClusterI.classifyrrcó<—| |¦«|krdSdS)zi Returns the likelihood (a float) of the token having the corresponding cluster. gð?ç)r)r ÚvectorÚlabels r Ú likelihoodzClusterI.likelihood!s%€ð =Š=˜Ñ Ô  EÒ )Ð )Ø3à3rcóì—i}d}| ¦«D]&}| ||¦«||<|||z }Œ'| ¦«D]}||xx|zcc<Œt|¦«S)z Classifies the token into a cluster, returning a probability distribution over the cluster identifiers. r)Ú cluster_namesrr)r rÚ likelihoodsÚsumrs r Úclassification_probdistz ClusterI.classification_probdist+sš€ð ˆ ؈Ø×)Ò)Ñ+Ô+ð (ð (ˆGØ#'§?¢?°6¸7Ñ#CÔ#CˆK˜Ñ Ø ;˜wÔ'Ñ 'ˆCˆCØ×)Ò)Ñ+Ô+ð (ð (ˆGØ ˜Ð Ð Ô  CÑ 'Ð Ð Ñ Ð Ý! +Ñ.Ô.Ð.rcó—dS)z1 Returns the number of clusters. Nr ©r s r Ú num_clusterszClusterI.num_clusters9rrcó^—tt| ¦«¦«¦«S)zI Returns the names of the clusters. :rtype: list )ÚlistÚranger rs r rzClusterI.cluster_names?s&€õ •E˜$×+Ò+Ñ-Ô-Ñ.Ô.Ñ/Ô/Ð/rcó—|S)z< Returns the names of the cluster at index. r )r Úindexs r Ú cluster_namezClusterI.cluster_nameFs €ðˆ rN)F) Ú__name__Ú __module__Ú __qualname__Ú__doc__rrrrrr rr&r rr rrs°€€€€€ðððð ð ð ñ„^ð ð ð ð ñ„^ð ð ððð /ð /ð /ðð ð ñ„^ð ð 0ð0ð0ðððððrr)Ú metaclassN)ÚabcrrÚnltk.probabilityrrr rr úr.sjðð(Ð'Ð'Ð'Ð'Ð'Ð'Ð'à/Ð/Ð/Ð/Ð/Ð/ð<ð<ð<ð<ð<˜ð<ñ<ô<ð<ð<ð<r