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view datasets/nist.py @ 185:b9ea8e2d071a

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Enlevé ce qui concernait la réutilisation de résultats de préentraînement (trop compliqué pour peu de bénéfice: c'est le finetuning qui est vraiment long
author fsavard
date Fri, 26 Feb 2010 17:45:52 -0500
parents e3de934a98b6
children
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__all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all']

from ftfile import FTDataSet

PATH = '/data/lisa/data/nist/by_class/'

nist_digits = FTDataSet(train_data = [PATH+'digits/digits_train_data.ft'],
                        train_lbl = [PATH+'digits/digits_train_labels.ft'],
                        test_data = [PATH+'digits/digits_test_data.ft'],
                        test_lbl = [PATH+'digits/digits_test_labels.ft'])
nist_lower = FTDataSet(train_data = [PATH+'lower/lower_train_data.ft'],
                        train_lbl = [PATH+'lower/lower_train_labels.ft'],
                        test_data = [PATH+'lower/lower_test_data.ft'],
                        test_lbl = [PATH+'lower/lower_test_labels.ft'])
nist_upper = FTDataSet(train_data = [PATH+'upper/upper_train_data.ft'],
                        train_lbl = [PATH+'upper/upper_train_labels.ft'],
                        test_data = [PATH+'upper/upper_test_data.ft'],
                        test_lbl = [PATH+'upper/upper_test_labels.ft'])
nist_all = FTDataSet(train_data = [PATH+'all/all_train_data.ft'],
                        train_lbl = [PATH+'all/all_train_labels.ft'],
                        test_data = [PATH+'all/all_test_data.ft'],
                        test_lbl = [PATH+'all/all_test_labels.ft'])