U 9%e@sdZddlmZmZddlmZddlZddlZddl m Z ddl m Z m Z ddlmZd d lmZd d lmZmZmZmZed d ddZeedgdgdgdgdgdddddddddddZdS)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/ )makedirsremove)existsN)loadmat)Bunchcheck_random_state)validate_params) get_data_home)RemoteFileMetadata _fetch_remote _pkl_filepath load_descrzolivettifaces.matz.https://ndownloader.figshare.com/files/5976027Z@b612fb967f2dc77c9c62d3e1266e0c73d5fca46a4b8906c18e454d41af987794)filenameurlZchecksumboolean random_state) data_homeshufflerdownload_if_missing return_X_yT)Zprefer_skip_nested_validationFc CsDt|d}t|st|t|d}t|s|s8tdtdtj|ftt|d}t |d}t ||dj }t j||dd ~n t |}t|}||}||}|d d d d }tddtdD} |rt|}|t|} || }| | } |t|d} td} |r4| | fSt| || | dS)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, 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` object. .. versionadded:: 0.22 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 )rz olivetti.pkzz1Data not found and `download_if_missing` is Falsez(downloading Olivetti faces from %s to %s)dirname) file_namefaces)compress)@rrrr cSsg|] }|dqS) ).0ir r _/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/sklearn/datasets/_olivetti_faces.py sz(fetch_olivetti_faces..rzolivetti_faces.rst)dataZimagestargetZDESCR)r rrrOSErrorprintFACESrr rrTcopyjoblibdumploadnpZfloat32minmaxZreshapeZ transposearrayrangerZ permutationlenrr) rrrrrfilepathZmat_pathZmfilerr'orderZfaces_vectorizedZfdescrr r r#fetch_olivetti_faces%s<O        r8)__doc__osrros.pathrr-numpyr0Zscipy.iorutilsrrZutils._param_validationr r _baser r rrr*strr8r r r r#s: