Mercurial > pylearn
comparison dataset.py @ 90:a289b8bed64c
corrected comment
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Mon, 05 May 2008 17:13:07 -0400 |
parents | 6749d18e11c8 |
children | 6fe972a7393c |
comparison
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89:05dc4804357b | 90:a289b8bed64c |
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25 or known length, so this class can be used to interface to a 'stream' which | 25 or known length, so this class can be used to interface to a 'stream' which |
26 feeds on-line learning (however, as noted below, some operations are not | 26 feeds on-line learning (however, as noted below, some operations are not |
27 feasible or not recommanded on streams). | 27 feasible or not recommanded on streams). |
28 | 28 |
29 To iterate over examples, there are several possibilities: | 29 To iterate over examples, there are several possibilities: |
30 - for example in dataset([field1, field2,field3, ...]): | 30 - for example in dataset: |
31 - for val1,val2,val3 in dataset([field1, field2,field3]): | 31 - for val1,val2,... in dataset: |
32 - for example in dataset(field1, field2,field3, ...): | |
33 - for val1,val2,val3 in dataset(field1, field2,field3): | |
32 - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): | 34 - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
33 - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): | 35 - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
34 - for example in dataset:: | 36 - for example in dataset:: |
35 print example['x'] | 37 print example['x'] |
36 - for x,y,z in dataset: | 38 - for x,y,z in dataset: |