Mercurial > ift6266

comparison deep/stacked_dae/v_sylvain/nist_byclass_error.py @ 446:9fb893d039c6

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Ajout de fonctionnalite pour calculer les erreurs de validation avec PNIST et P07
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Tue, 04 May 2010 19:59:14 -0400
parents eb42bed0c13b
children
comparison
equal deleted inserted replaced
445:868f82777839 446:9fb893d039c6
55 n_outs = 62 # 10 digits, 26*2 (lower, capitals) 55 n_outs = 62 # 10 digits, 26*2 (lower, capitals)
56 56
57 examples_per_epoch = NIST_ALL_TRAIN_SIZE 57 examples_per_epoch = NIST_ALL_TRAIN_SIZE
58 58
59 PATH = '' 59 PATH = ''
60 NIST_BY_CLASS=0
60 61
61 62
62 63
63 print "Creating optimizer with state, ", state 64 print "Creating optimizer with state, ", state
64 65
73 74
74 75
75 if os.path.exists(PATH+'params_finetune_NIST.txt'): 76 if os.path.exists(PATH+'params_finetune_NIST.txt'):
76 print ('\n finetune = NIST ') 77 print ('\n finetune = NIST ')
77 optimizer.reload_parameters(PATH+'params_finetune_NIST.txt') 78 optimizer.reload_parameters(PATH+'params_finetune_NIST.txt')
78 print "NIST DIGITS" 79 if NIST_BY_CLASS == 1:
79 optimizer.training_error(datasets.nist_digits(),part=2) 80 print "NIST DIGITS"
80 print "NIST LOWER CASE" 81 optimizer.training_error(datasets.nist_digits(),part=2)
81 optimizer.training_error(datasets.nist_lower(),part=2) 82 print "NIST LOWER CASE"
82 print "NIST UPPER CASE" 83 optimizer.training_error(datasets.nist_lower(),part=2)
83 optimizer.training_error(datasets.nist_upper(),part=2) 84 print "NIST UPPER CASE"
85 optimizer.training_error(datasets.nist_upper(),part=2)
86 else:
87 print "P07 valid"
88 optimizer.training_error(datasets.nist_P07(),part=1)
89 print "PNIST valid"
90 optimizer.training_error(datasets.PNIST07(),part=1)
84 91
85 92
86 if os.path.exists(PATH+'params_finetune_P07.txt'): 93 if os.path.exists(PATH+'params_finetune_P07.txt'):
87 print ('\n finetune = P07 ') 94 print ('\n finetune = P07 ')
88 optimizer.reload_parameters(PATH+'params_finetune_P07.txt') 95 optimizer.reload_parameters(PATH+'params_finetune_P07.txt')
89 print "NIST DIGITS" 96 if NIST_BY_CLASS == 1:
90 optimizer.training_error(datasets.nist_digits(),part=2) 97 print "NIST DIGITS"
91 print "NIST LOWER CASE" 98 optimizer.training_error(datasets.nist_digits(),part=2)
92 optimizer.training_error(datasets.nist_lower(),part=2) 99 print "NIST LOWER CASE"
93 print "NIST UPPER CASE" 100 optimizer.training_error(datasets.nist_lower(),part=2)
94 optimizer.training_error(datasets.nist_upper(),part=2) 101 print "NIST UPPER CASE"
102 optimizer.training_error(datasets.nist_upper(),part=2)
103 else:
104 print "P07 valid"
105 optimizer.training_error(datasets.nist_P07(),part=1)
106 print "PNIST valid"
107 optimizer.training_error(datasets.PNIST07(),part=1)
95 108
96 109
97 if os.path.exists(PATH+'params_finetune_NIST_then_P07.txt'): 110 if os.path.exists(PATH+'params_finetune_NIST_then_P07.txt'):
98 print ('\n finetune = NIST then P07') 111 print ('\n finetune = NIST then P07')
99 optimizer.reload_parameters(PATH+'params_finetune_NIST_then_P07.txt') 112 optimizer.reload_parameters(PATH+'params_finetune_NIST_then_P07.txt')
100 print "NIST DIGITS" 113 if NIST_BY_CLASS == 1:
101 optimizer.training_error(datasets.nist_digits(),part=2) 114 print "NIST DIGITS"
102 print "NIST LOWER CASE" 115 optimizer.training_error(datasets.nist_digits(),part=2)
103 optimizer.training_error(datasets.nist_lower(),part=2) 116 print "NIST LOWER CASE"
104 print "NIST UPPER CASE" 117 optimizer.training_error(datasets.nist_lower(),part=2)
105 optimizer.training_error(datasets.nist_upper(),part=2) 118 print "NIST UPPER CASE"
119 optimizer.training_error(datasets.nist_upper(),part=2)
120 else:
121 print "P07 valid"
122 optimizer.training_error(datasets.nist_P07(),part=1)
123 print "PNIST valid"
124 optimizer.training_error(datasets.PNIST07(),part=1)
106 125
107 if os.path.exists(PATH+'params_finetune_P07_then_NIST.txt'): 126 if os.path.exists(PATH+'params_finetune_P07_then_NIST.txt'):
108 print ('\n finetune = P07 then NIST') 127 print ('\n finetune = P07 then NIST')
109 optimizer.reload_parameters(PATH+'params_finetune_P07_then_NIST.txt') 128 optimizer.reload_parameters(PATH+'params_finetune_P07_then_NIST.txt')
110 print "NIST DIGITS" 129 if NIST_BY_CLASS == 1:
111 optimizer.training_error(datasets.nist_digits(),part=2) 130 print "NIST DIGITS"
112 print "NIST LOWER CASE" 131 optimizer.training_error(datasets.nist_digits(),part=2)
113 optimizer.training_error(datasets.nist_lower(),part=2) 132 print "NIST LOWER CASE"
114 print "NIST UPPER CASE" 133 optimizer.training_error(datasets.nist_lower(),part=2)
115 optimizer.training_error(datasets.nist_upper(),part=2) 134 print "NIST UPPER CASE"
135 optimizer.training_error(datasets.nist_upper(),part=2)
136 else:
137 print "P07 valid"
138 optimizer.training_error(datasets.nist_P07(),part=1)
139 print "PNIST valid"
140 optimizer.training_error(datasets.PNIST07(),part=1)
116 141
117 if os.path.exists(PATH+'params_finetune_PNIST07.txt'): 142 if os.path.exists(PATH+'params_finetune_PNIST07.txt'):
118 print ('\n finetune = PNIST07') 143 print ('\n finetune = PNIST07')
119 optimizer.reload_parameters(PATH+'params_finetune_PNIST07.txt') 144 optimizer.reload_parameters(PATH+'params_finetune_PNIST07.txt')
120 print "NIST DIGITS" 145 if NIST_BY_CLASS == 1:
121 optimizer.training_error(datasets.nist_digits(),part=2) 146 print "NIST DIGITS"
122 print "NIST LOWER CASE" 147 optimizer.training_error(datasets.nist_digits(),part=2)
123 optimizer.training_error(datasets.nist_lower(),part=2) 148 print "NIST LOWER CASE"
124 print "NIST UPPER CASE" 149 optimizer.training_error(datasets.nist_lower(),part=2)
125 optimizer.training_error(datasets.nist_upper(),part=2) 150 print "NIST UPPER CASE"
151 optimizer.training_error(datasets.nist_upper(),part=2)
152 else:
153 print "P07 valid"
154 optimizer.training_error(datasets.nist_P07(),part=1)
155 print "PNIST valid"
156 optimizer.training_error(datasets.PNIST07(),part=1)
126 157
127 if os.path.exists(PATH+'params_finetune_PNIST07_then_NIST.txt'): 158 if os.path.exists(PATH+'params_finetune_PNIST07_then_NIST.txt'):
128 print ('\n finetune = PNIST07 then NIST') 159 print ('\n finetune = PNIST07 then NIST')
129 optimizer.reload_parameters(PATH+'params_finetune_PNIST07_then_NIST.txt') 160 optimizer.reload_parameters(PATH+'params_finetune_PNIST07_then_NIST.txt')
130 print "NIST DIGITS" 161 if NIST_BY_CLASS == 1:
131 optimizer.training_error(datasets.nist_digits(),part=2) 162 print "NIST DIGITS"
132 print "NIST LOWER CASE" 163 optimizer.training_error(datasets.nist_digits(),part=2)
133 optimizer.training_error(datasets.nist_lower(),part=2) 164 print "NIST LOWER CASE"
134 print "NIST UPPER CASE" 165 optimizer.training_error(datasets.nist_lower(),part=2)
135 optimizer.training_error(datasets.nist_upper(),part=2) 166 print "NIST UPPER CASE"
167 optimizer.training_error(datasets.nist_upper(),part=2)
168 else:
169 print "P07 valid"
170 optimizer.training_error(datasets.nist_P07(),part=1)
171 print "PNIST valid"
172 optimizer.training_error(datasets.PNIST07(),part=1)
136 173
137 channel.save() 174 channel.save()
138 175
139 return channel.COMPLETE 176 return channel.COMPLETE
140 177