qtjFdZddlmZmZddlmZmZddlmZddl Z ddl Z ddl m Z ddlmZddlmZmZmZmZdd lmZmZdd lmZmZed d d ZeeedgdgdgdgdgeedddgeedddgdddddddddddZdS)aModified Olivetti faces dataset. The original database was available from (now defunct) https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html The version retrieved here comes in MATLAB format from the personal web page of Sam Roweis: https://cs.nyu.edu/~roweis/ )IntegralReal)PathLikeremove)existsN)loadmat) get_data_home)RemoteFileMetadata _fetch_remote _pkl_filepath load_descr)Bunchcheck_random_state)Intervalvalidate_paramszolivettifaces.matz.https://ndownloader.figshare.com/files/5976027@b612fb967f2dc77c9c62d3e1266e0c73d5fca46a4b8906c18e454d41af987794)filenameurlchecksumboolean random_stateleft)closedgneither) data_homeshufflerdownload_if_missing return_X_y n_retriesdelayT)prefer_skip_nested_validationFg?ct|}t|d}t|s|stdt dt jd|tt |||}t|} t|| dj } tj | |d ~ ntj|} tj| } | | z } | | z} | d d d d} tjdt-dD} |rAt/|}|t3| } | | } | | } | t3| d} t5d}|r| | fSt7| | | |S)a Load the Olivetti faces data-set from AT&T (classification). Download it if necessary. ================= ===================== Classes 40 Samples total 400 Dimensionality 4096 Features real, between 0 and 1 ================= ===================== Read more in the :ref:`User Guide `. Parameters ---------- data_home : str or path-like, default=None Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in '~/scikit_learn_data' subfolders. shuffle : bool, default=False If True the order of the dataset is shuffled to avoid having images of the same person grouped. random_state : int, RandomState instance or None, default=0 Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See :term:`Glossary `. download_if_missing : bool, default=True If False, raise an OSError if the data is not locally available instead of trying to download the data from the source site. return_X_y : bool, default=False If True, returns `(data, target)` instead of a `Bunch` object. See below for more information about the `data` and `target` objects. .. versionadded:: 0.22 n_retries : int, default=3 Number of retries when HTTP errors are encountered. .. versionadded:: 1.5 delay : float, default=1.0 Number of seconds between retries. .. versionadded:: 1.5 Returns ------- data : :class:`~sklearn.utils.Bunch` Dictionary-like object, with the following attributes. data: ndarray, shape (400, 4096) Each row corresponds to a ravelled face image of original size 64 x 64 pixels. images : ndarray, shape (400, 64, 64) Each row is a face image corresponding to one of the 40 subjects of the dataset. target : ndarray, shape (400,) Labels associated to each face image. Those labels are ranging from 0-39 and correspond to the Subject IDs. DESCR : str Description of the modified Olivetti Faces Dataset. (data, target) : tuple if `return_X_y=True` Tuple with the `data` and `target` objects described above. .. versionadded:: 0.22 Examples -------- >>> from sklearn.datasets import fetch_olivetti_faces >>> olivetti_faces = fetch_olivetti_faces() >>> olivetti_faces.data.shape (400, 4096) >>> olivetti_faces.target.shape (400,) >>> olivetti_faces.images.shape (400, 64, 64) )rz olivetti.pkzz1Data not found and `download_if_missing` is Falsez downloading Olivetti faces from z to )dirnamer r!) file_namefaces)compress)@r+rrcg|]}|dzS) ).0is ^/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/sklearn/datasets/_olivetti_faces.py z(fetch_olivetti_faces..s3331qBw333r*zolivetti_faces.rst)dataimagestargetDESCR)r r rOSErrorprintFACESrr rrTcopyjoblibdumploadnpfloat32minmaxreshape transposearrayranger permutationlenr r)rrrrrr r!filepathmat_pathmfiler'r8orderfaces_vectorizedfdescrs r2fetch_olivetti_facesrR+sP 222IY77H (  &" OMNN N EIIIyyQRRR 9    (+++xg %%'' E8a0000 E H%% Ju  E EIIKK E UYY[[E MM- ( ( 2 21a ; ;E X33c 333 4 4F),77 ((U44e }}SZZ44 , - -F('' &uV6 R R RRr4)__doc__numbersrrosrros.pathrr?numpyrBscipy.iorsklearn.datasetsr sklearn.datasets._baser r r r sklearn.utilsrrsklearn.utils._param_validationrrr<strrRr/r4r2r^s  #""""""" ****** 43333333EEEEEEEE  8 O   8T*;'( ){ khxD@@@A(4d9===>#'     DSDSDSDS  DSDSDSr4