h$,f ^dZddlZddlZddlmZddlmZddlm Z ddl m Z Gdd eZ y) zY Feature agglomeration. Base classes and functions for performing feature agglomeration. N)issparse)TransformerMixin)metadata_routing)check_is_fittedc:eZdZdZdej iZdZddZy)AgglomerationTransformzH A class for feature agglomeration via the transform interface. Xredc t||j|d}|jtjk(rt |stj |j}|jd}tjt|Dcgc],}tj |j||ddf|z .c}}|Stj|jDcgc])}|j|dd|j|k(fd+}}tj|j}|Scc}wcc}w)a 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)resetrN)axis) r_validate_data pooling_funcnpmeanrbincountlabels_shapearrayrangeuniqueT)selfXsize n_samplesinXls Flib/python3.12/site-packages/sklearn/cluster/_feature_agglomeration.py transformz AgglomerationTransform.transforms      /    ' ;;t||,D IDI)DTUqT\\1QT73d:UB 4<<0!!!At||q'8$8"9!BB"B Vs 1D=,.ENc| | td| | td|tjdt|}t |t j|jd\}}|d|fS)aE Inverse the transformation and return a vector of size `n_features`. Parameters ---------- Xt : array-like of shape (n_samples, n_clusters) or (n_clusters,) The values to be assigned to each cluster of samples. Xred : deprecated Use `Xt` instead. .. deprecated:: 1.3 Returns ------- X : ndarray of shape (n_samples, n_features) or (n_features,) A vector of size `n_samples` with the values of `Xred` assigned to each of the cluster of samples. z(Missing required positional argument: Xtz)Please provide only `Xt`, and not `Xred`.zNInput argument `Xred` was renamed to `Xt` in v1.3 and will be removed in v1.5.T)return_inverse.) TypeError ValueErrorwarningswarn FutureWarningrrrr)rXtr unilinverses r!inverse_transformz(AgglomerationTransform.inverse_transformAs( :$,FG G  HI I   MM(  B $,,tD g#w,)NN) __name__ __module__ __qualname____doc__rUNUSED<_AgglomerationTransform__metadata_request__inverse_transformr"r-r.r!r r s&.45E5L5L,M) D' r.r ) r2r'numpyr scipy.sparserbaserutilsrutils.validationrr r5r.r!r;s-!#$. S -S r.