Mercurial > ift6266

annotate datasets/nist.py @ 186:d364a130b221

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Ajout du code de base pour scalar_series. Modifications à stacked_dae: réglé un problème avec les input_divider (empêchait une optimisation), et ajouté utilisation des séries. Si j'avais pas déjà commité, aussi, j'ai enlevé l'histoire de réutilisation du pretraining: c'était compliqué (error prone) et ça créait des jobs beaucoup trop longues.
author fsavard
date Mon, 01 Mar 2010 11:45:25 -0500
parents e3de934a98b6
children
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e3de934a98b6 Add nist_lower, nist_upper, nist_all
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all']
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3 from ftfile import FTDataSet
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5 PATH = '/data/lisa/data/nist/by_class/'
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7 nist_digits = FTDataSet(train_data = [PATH+'digits/digits_train_data.ft'],
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8 train_lbl = [PATH+'digits/digits_train_labels.ft'],
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9 test_data = [PATH+'digits/digits_test_data.ft'],
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10 test_lbl = [PATH+'digits/digits_test_labels.ft'])
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11 nist_lower = FTDataSet(train_data = [PATH+'lower/lower_train_data.ft'],
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12 train_lbl = [PATH+'lower/lower_train_labels.ft'],
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13 test_data = [PATH+'lower/lower_test_data.ft'],
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14 test_lbl = [PATH+'lower/lower_test_labels.ft'])
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15 nist_upper = FTDataSet(train_data = [PATH+'upper/upper_train_data.ft'],
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16 train_lbl = [PATH+'upper/upper_train_labels.ft'],
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17 test_data = [PATH+'upper/upper_test_data.ft'],
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18 test_lbl = [PATH+'upper/upper_test_labels.ft'])
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19 nist_all = FTDataSet(train_data = [PATH+'all/all_train_data.ft'],
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20 train_lbl = [PATH+'all/all_train_labels.ft'],
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21 test_data = [PATH+'all/all_test_data.ft'],
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22 test_lbl = [PATH+'all/all_test_labels.ft'])
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