U 9%e @sXdZddlZddlZddlmZddlmZddlm Z ddl m Z Gdd d eZ dS) zY Feature agglomeration. Base classes and functions for performing feature agglomeration. N)issparse)TransformerMixin)metadata_routing)check_is_fittedc@s,eZdZdZdejiZddZdddZdS) AgglomerationTransformzH A class for feature agglomeration via the transform interface. Xredcstjddjtjkrbtsbtjjd}t fddt |D}n(fddt jD}t |j }|S)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)resetrc s*g|]"}tj|ddfqS)N)npbincountlabels_).0iXselfsizee/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/sklearn/cluster/_feature_agglomeration.py 7sz4AgglomerationTransform.transform..cs,g|]$}jddj|kfddqS)N)Zaxis) pooling_funcr )r l)rrrrr:s) rZ_validate_datarr Zmeanrr r shapearrayrangeuniqueT)rrZ n_samplesZnXrrr transforms     z AgglomerationTransform.transformNcCsp|dkr|dkrtd|dk r0|dk r0td|dk rHtdt|}t|tj|jdd\}}|d|fS)aE Inverse the transformation and return a vector of size `n_features`. Parameters ---------- Xt : array-like of shape (n_samples, n_clusters) or (n_clusters,) The values to be assigned to each cluster of samples. Xred : deprecated Use `Xt` instead. .. deprecated:: 1.3 Returns ------- X : ndarray of shape (n_samples, n_features) or (n_features,) A vector of size `n_samples` with the values of `Xred` assigned to each of the cluster of samples. Nz(Missing required positional argument: Xtz)Please provide only `Xt`, and not `Xred`.zNInput argument `Xred` was renamed to `Xt` in v1.3 and will be removed in v1.5.T)Zreturn_inverse.) TypeError ValueErrorwarningswarn FutureWarningrr rr )rZXtrZunilZinverserrrinverse_transformAsz(AgglomerationTransform.inverse_transform)NN) __name__ __module__ __qualname____doc__rZUNUSEDZ<_AgglomerationTransform__metadata_request__inverse_transformrr$rrrrrs "r) r(r!numpyr Z scipy.sparserbaserutilsrZutils.validationrrrrrrs