§ 0Ph> ãón—dZddlZddlmZddlmZddlmZddl m Z ddl m Z m Z Gd „d e¦«ZdS) zY Feature agglomeration. Base classes and functions for performing feature agglomeration. éN)Úissparseé)ÚTransformerMixin)Úmetadata_routing)Ú"_deprecate_Xt_in_inverse_transform)Úcheck_is_fittedÚ validate_datacó8—eZdZdZdejiZd„Zdddœd„ZdS)ÚAgglomerationTransformzH A class for feature agglomeration via the transform interface. ÚXtcóÀ‡‡‡—t‰¦«t‰‰d¬¦«Š‰jtjkret ‰¦«sVtj‰j¦«Š‰jd}tj ˆˆˆfd„t|¦«D¦«¦«}n?ˆˆfd„tj ‰j¦«D¦«}tj |¦«j }|S)aì Transform a new matrix using the built clustering. Parameters ---------- X : array-like of shape (n_samples, n_features) or (n_samples, n_samples) A M by N array of M observations in N dimensions or a length M array of M one-dimensional observations. Returns ------- Y : ndarray of shape (n_samples, n_clusters) or (n_clusters,) The pooled values for each feature cluster. F)Úresetrc ó^•—g|])}tj‰j‰|dd…f¦«‰z ‘Œ*S©N)ÚnpÚbincountÚlabels_)Ú.0ÚiÚXÚselfÚsizes €€€úf/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/sklearn/cluster/_feature_agglomeration.pyú z4AgglomerationTransform.transform..8s8ø€ÐUÐUÐU¸q•”˜Tœ\¨1¨Q°°°¨T¬7Ñ3Ô3°dÑ:ÐUÐUÐUócód•—g|],}‰ ‰dd…‰j|kfd¬¦«‘Œ-S)Né)Úaxis)Ú pooling_funcr)rÚlrrs €€rrz4AgglomerationTransform.transform..;sQø€ðððàð×!Ò! ! A A A t¤|°qÒ'8Ð$8Ô"9ÀÐ!ÑBÔBðððr) rr rrÚmeanrrrÚshapeÚarrayÚrangeÚuniqueÚT)rrÚ n_samplesÚnXrs`` @rÚ transformz AgglomerationTransform.transform sçøøø€õ ˜ÑÔÐå ˜$ ¨Ð /Ñ /Ô /ˆØ Ô ¥¤Ò 'Ð 'µ¸± ´ Ð 'Ý”;˜tœ|Ñ,Ô,ˆDØœ œ ˆIå”ØUÐUÐUÐUÐUÐUÅEÈ)ÑDTÔDTÐUÑUÔUñôˆBˆBððððð圠4¤<Ñ0Ô0ðñôˆBõ”˜"‘””ˆB؈ rN)r có—t||¦«}t|¦«tj|jd¬¦«\}}|d|fS)að Inverse the transformation and return a vector of size `n_features`. Parameters ---------- X : array-like of shape (n_samples, n_clusters) or (n_clusters,) The values to be assigned to each cluster of samples. Xt : array-like of shape (n_samples, n_clusters) or (n_clusters,) The values to be assigned to each cluster of samples. .. deprecated:: 1.5 `Xt` was deprecated in 1.5 and will be removed in 1.7. Use `X` instead. Returns ------- X : ndarray of shape (n_samples, n_features) or (n_features,) A vector of size `n_samples` with the values of `Xred` assigned to each of the cluster of samples. T)Úreturn_inverse.)rrrr%r)rrr ÚunilÚinverses rÚinverse_transformz(AgglomerationTransform.inverse_transformBsI€õ* /¨q°"Ñ 5Ô 5ˆå˜ÑÔÐåœ  $¤,¸tÐDÑDÔD‰ ˆˆgØgŒÐrr) Ú__name__Ú __module__Ú __qualname__Ú__doc__rÚUNUSEDÚ<_AgglomerationTransform__metadata_request__inverse_transformr)r.©rrr r s_€€€€€ððð.2Ð3CÔ3JÐ,KÐ)ð ð ð ðD¨dðððððððrr )r2ÚnumpyrÚ scipy.sparserÚbaserÚutilsrÚutils.deprecationrÚutils.validationrr r r5rrúr<s¼ððððÐÐÐØ!Ð!Ð!Ð!Ð!Ð!à#Ð#Ð#Ð#Ð#Ð#Ø$Ð$Ð$Ð$Ð$Ð$ØBÐBÐBÐBÐBÐBØ=Ð=Ð=Ð=Ð=Ð=Ð=Ð=ð FðFðFðFðFÐ-ñFôFðFðFðFr