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view datasets/defs.py @ 220:e172ef73cdc5

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Ajouté un paquet de type/value checks à SeriesTables, et finalisé les docstrings. Ajouté 3-4 tests. Légers refactorings ici et là sans conséquences externes.
author fsavard
date Thu, 11 Mar 2010 10:48:54 -0500
parents 476da2ba6a12
children 4cfd0eb438af
line wrap: on
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__all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr', 
           'nist_P07']

from ftfile import FTDataSet
import theano

NIST_PATH = '/data/lisa/data/nist/by_class/'
DATA_PATH = '/data/lisa/data/ift6266h10/'

nist_digits = FTDataSet(train_data = [NIST_PATH+'digits/digits_train_data.ft'],
                        train_lbl = [NIST_PATH+'digits/digits_train_labels.ft'],
                        test_data = [NIST_PATH+'digits/digits_test_data.ft'],
                        test_lbl = [NIST_PATH+'digits/digits_test_labels.ft'],
                        indtype=theano.config.floatX, inscale=255.)
nist_lower = FTDataSet(train_data = [NIST_PATH+'lower/lower_train_data.ft'],
                        train_lbl = [NIST_PATH+'lower/lower_train_labels.ft'],
                        test_data = [NIST_PATH+'lower/lower_test_data.ft'],
                        test_lbl = [NIST_PATH+'lower/lower_test_labels.ft'],
                        indtype=theano.config.floatX, inscale=255.)
nist_upper = FTDataSet(train_data = [NIST_PATH+'upper/upper_train_data.ft'],
                        train_lbl = [NIST_PATH+'upper/upper_train_labels.ft'],
                        test_data = [NIST_PATH+'upper/upper_test_data.ft'],
                        test_lbl = [NIST_PATH+'upper/upper_test_labels.ft'],
                        indtype=theano.config.floatX, inscale=255.)

nist_all = FTDataSet(train_data = [DATA_PATH+'train_data.ft'],
                     train_lbl = [DATA_PATH+'train_labels.ft'],
                     test_data = [DATA_PATH+'test_data.ft'],
                     test_lbl = [DATA_PATH+'test_labels.ft'],
                     valid_data = [DATA_PATH+'valid_data.ft'],
                     valid_lbl = [DATA_PATH+'valid_labels.ft'],
                     indtype=theano.config.floatX, inscale=255.)

ocr = FTDataSet(train_data = [DATA_PATH+'ocr_train_data.ft'],
                train_lbl = [DATA_PATH+'ocr_train_labels.ft'],
                test_data = [DATA_PATH+'ocr_test_data.ft'],
                test_lbl = [DATA_PATH+'ocr_test_labels.ft'],
                valid_data = [DATA_PATH+'ocr_valid_data.ft'],
                valid_lbl = [DATA_PATH+'ocr_valid_labels.ft'],
                indtype=theano.config.floatX, inscale=255.)

nist_P07 = FTDataSet(train_data = [DATA_PATH+'data/P07_train'+str(i)+'_data.ft' for i in range(100)],
                     train_lbl = [DATA_PATH+'data/P07_train'+str(i)+'_labels.ft' for i in range(100)],
                     test_data = [DATA_PATH+'data/P07_test_data.ft'],
                     test_lbl = [DATA_PATH+'data/P07_test_labels.ft'],
                     valid_data = [DATA_PATH+'data/P07_valid_data.ft'],
                     valid_lbl = [DATA_PATH+'data/P07_valid_labels.ft'],
                     indtype=theano.config.floatX, inscale=255.)