\;j`dZddlZddlZddlZddlZddlZddlm Z gZ dZ dZ gdZ dadadZdZd Zdd Ze d d d ddZe d d d ddZdZe d d d ddZe d d d ddZy)z UCI Housing dataset. This module will download dataset from https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ and parse training set and test set into paddle reader creators. N) deprecatedz:http://paddlemodels.bj.bcebos.com/uci_housing/housing.data d4accdce7a25600298819f8e28e8d593) CRIMZNINDUSCHASNOXRMAGEDISRADTAXPTRATIOBLSTATzYhttps://github.com/PaddlePaddle/book/raw/develop/01.fit_a_line/fluid/fit_a_line.fluid.tar 6e6dd637ccd5993961f68bfbde46090bcVddl}|jdddlm}|j \}}t |}|j tt|||z dd|jd|jtt|t|jd|g|jd|jd tj j#d stj$d |j'd d |j)|y)NrAggrcenter)coloralignz feature scale z./imagezimage/ranges.png0)dpi) matplotlibusematplotlib.pyplotpyplotsubplotslenbarlistrange set_titlexticks feature_namesxlim set_figheight set_figwidthospathexistsmakedirssavefigclose)maximumsminimumsrpltfigax feature_nums cG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\paddle/dataset/uci_housing.py feature_ranger::sNN5#llnGCh-KFF U;  (X"5S LL!JJtE+&'7HHb+ aR 77>>) $ IKK"K+IIcNcttytj|d}|j |j d|z|}|j d|jd|jd|j dz }}}t|dz D]$}|dd|f||z ||||z z |dd|f<&t|j d|z}|d|a||day)N )sepr)axis) UCI_TRAIN_DATA UCI_TEST_DATAnpfromfilereshapeshapemaxminsumr&int) filenamer8ratiodatar3r4avgsioffsets r9 load_datarQPs!m&? ;;xS )D << 1 4k BD a a a4::a=(hH;? #1a4j47*x{Xa[/HIQT $ A& 'F'6]NMMr;z2.0.0zpaddle.text.datasets.UCIHousingr@z>Please use new dataset API which supports paddle.io.DataLoader)since update_tolevelreasoncttjjj t dt d}|S)z UCI_HOUSING training set creator. It returns a reader creator, each sample in the reader is features after normalization and price number. :return: Training reader creator :rtype: callable uci_housingc3:KtD]}|dd|ddfywNr)rAds r9readerztrain..readerxs&ACR&!BC&.  rQpaddledatasetcommondownloadURLMD5r\s r9trainrfe1"fnn##,,S-EF! Mr;cttjjj t dt d}|S)z UCI_HOUSING test set creator. It returns a reader creator, each sample in the reader is features after normalization and price number. :return: Test reader creator :rtype: callable rWc3:KtD]}|dd|ddfywrY)rBrZs r9r\ztest..readers&ACR&!BC&. r]r^res r9testrjrgr;ctjjjtdt d}t j|d}tj}|j||S)NrWzfit_a_line.fluid.tarr)mode)r.) r_r`rarbFLUID_URL_MODELFLUID_MD5_MODELtarfileTarFiletempfilemkdtemp extractall) parameter_tartardirpaths r9 fluid_modelrwsYNN))229OM //-c 2C GNNN Nr;cttjjj t dt tdddfS)zh It returns just one tuple data to do inference. :return: one tuple data :rtype: tuple rWrNr)rQr_r`rarbrcrdrBr;r9predict_readerrzs:fnn##,,S-EF ! Sb ! ##r;cjtjjjtdt y)NrW)r_r`rarbrcrdryr;r9fetchr|s  NN""3 s;r;)g?)__doc__r-rorqnumpyrCpaddle.dataset.commonr_ paddle.utilsr__all__rcrdr)rArBrmrnr:rQrfrjrwrzr|ryr;r9rs # B(  m4,"* / K    ( / K    (  / K  $  $ / K  <