Mercurial > ift6266

annotate 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
rev   line source
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr',
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2 'nist_P07']
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3
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4 from ftfile import FTDataSet
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5 import theano
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7 NIST_PATH = '/data/lisa/data/nist/by_class/'
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8 DATA_PATH = '/data/lisa/data/ift6266h10/'
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10 nist_digits = FTDataSet(train_data = [NIST_PATH+'digits/digits_train_data.ft'],
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11 train_lbl = [NIST_PATH+'digits/digits_train_labels.ft'],
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12 test_data = [NIST_PATH+'digits/digits_test_data.ft'],
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13 test_lbl = [NIST_PATH+'digits/digits_test_labels.ft'],
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14 indtype=theano.config.floatX, inscale=255.)
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15 nist_lower = FTDataSet(train_data = [NIST_PATH+'lower/lower_train_data.ft'],
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16 train_lbl = [NIST_PATH+'lower/lower_train_labels.ft'],
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17 test_data = [NIST_PATH+'lower/lower_test_data.ft'],
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18 test_lbl = [NIST_PATH+'lower/lower_test_labels.ft'],
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19 indtype=theano.config.floatX, inscale=255.)
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20 nist_upper = FTDataSet(train_data = [NIST_PATH+'upper/upper_train_data.ft'],
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21 train_lbl = [NIST_PATH+'upper/upper_train_labels.ft'],
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22 test_data = [NIST_PATH+'upper/upper_test_data.ft'],
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23 test_lbl = [NIST_PATH+'upper/upper_test_labels.ft'],
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24 indtype=theano.config.floatX, inscale=255.)
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25
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26 nist_all = FTDataSet(train_data = [DATA_PATH+'train_data.ft'],
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27 train_lbl = [DATA_PATH+'train_labels.ft'],
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28 test_data = [DATA_PATH+'test_data.ft'],
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29 test_lbl = [DATA_PATH+'test_labels.ft'],
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30 valid_data = [DATA_PATH+'valid_data.ft'],
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31 valid_lbl = [DATA_PATH+'valid_labels.ft'],
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32 indtype=theano.config.floatX, inscale=255.)
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33
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34 ocr = FTDataSet(train_data = [DATA_PATH+'ocr_train_data.ft'],
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35 train_lbl = [DATA_PATH+'ocr_train_labels.ft'],
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36 test_data = [DATA_PATH+'ocr_test_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
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37 test_lbl = [DATA_PATH+'ocr_test_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
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parents: 164
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38 valid_data = [DATA_PATH+'ocr_valid_data.ft'],
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39 valid_lbl = [DATA_PATH+'ocr_valid_labels.ft'],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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40 indtype=theano.config.floatX, inscale=255.)
476da2ba6a12 Add nist_P07 datasets to the predefs.
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parents: 181
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41
476da2ba6a12 Add nist_P07 datasets to the predefs.
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parents: 181
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42 nist_P07 = FTDataSet(train_data = [DATA_PATH+'data/P07_train'+str(i)+'_data.ft' for i in range(100)],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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parents: 181
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43 train_lbl = [DATA_PATH+'data/P07_train'+str(i)+'_labels.ft' for i in range(100)],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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44 test_data = [DATA_PATH+'data/P07_test_data.ft'],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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parents: 181
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45 test_lbl = [DATA_PATH+'data/P07_test_labels.ft'],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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parents: 181
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46 valid_data = [DATA_PATH+'data/P07_valid_data.ft'],
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47 valid_lbl = [DATA_PATH+'data/P07_valid_labels.ft'],
476da2ba6a12 Add nist_P07 datasets to the predefs.
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48 indtype=theano.config.floatX, inscale=255.)