§ 0;ji‡ ãóV—dZddlZddlmZddlmZddlmZm Z Gd„de¦«Z dS)zY Feature agglomeration. Base classes and functions for performing feature agglomeration. éN)Úissparse)ÚTransformerMixin)Úcheck_is_fittedÚ validate_datacó—eZdZdZd„Zd„ZdS)ÚAgglomerationTransformzH A class for feature agglomeration via the transform interface. cóÀ‡‡‡—t‰¦«t‰‰d¬¦«Š‰jtjkret ‰¦«sVtj‰j¦«Š‰jd}tj ˆˆˆfd„t|¦«D¦«¦«}n?ˆˆfd„tj ‰j¦«D¦«}tj |¦«j }|S)aí Transform a new matrix using the built clustering. Parameters ---------- X : array-like of shape (n_samples, n_features) or (n_samples, n_samples) An 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 €€€ú`/root/voice-cloning/.venv/lib/python3.11/site-packages/sklearn/cluster/_feature_agglomeration.pyú z4AgglomerationTransform.transform..0s8ø€ÐUÐUÐU¸q•”˜Tœ\¨1¨Q°°°¨T¬7Ñ3Ô3°dÑ:ÐUÐUÐUócód•—g|],}‰ ‰dd…‰j|kfd¬¦«‘Œ-S)Né)Úaxis)Ú pooling_funcr)rÚlrrs €€rrz4AgglomerationTransform.transform..3sQø€ðððàð×!Ò! ! A A A t¤|°qÒ'8Ð$8Ô"9ÀÐ!ÑBÔBðððr) rrrr Úmeanrr rÚshapeÚarrayÚrangeÚuniqueÚT)rrÚ n_samplesÚnXrs`` @rÚ transformz AgglomerationTransform.transformsçøøø€õ ˜ÑÔÐå ˜$ ¨Ð /Ñ /Ô /ˆØ Ô ¥¤Ò 'Ð 'µ¸± ´ Ð 'Ý”;˜tœ|Ñ,Ô,ˆDØœ œ ˆIå”ØUÐUÐUÐUÐUÐUÅEÈ)ÑDTÔDTÐUÑUÔUñôˆBˆBððððð圠4¤<Ñ0Ô0ðñôˆBõ”˜"‘””ˆB؈ rcóp—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. Returns ------- X_original : ndarray of shape (n_samples, n_features) or (n_features,) A vector of size `n_samples` with the values of `X` assigned to each of the cluster of samples. T)Úreturn_inverse.)rr r r)rrÚunilÚinverses rÚinverse_transformz(AgglomerationTransform.inverse_transform:s:€õ ˜ÑÔÐåœ  $¤,¸tÐDÑDÔD‰ ˆˆgØgŒÐrN)Ú__name__Ú __module__Ú __qualname__Ú__doc__r$r)©rrrrs=€€€€€ððð ð ð ðDððððrr) r-Únumpyr Ú scipy.sparserÚ sklearn.baserÚsklearn.utils.validationrrrr.rrúr3sŽððððÐÐÐØ!Ð!Ð!Ð!Ð!Ð!à)Ð)Ð)Ð)Ð)Ð)ØCÐCÐCÐCÐCÐCÐCÐCð 9ð9ð9ð9ð9Ð-ñ9ô9ð9ð9ð9r