| Mon, 12 May 2008 18:51:42 -0400 |
Joseph Turian |
Updated documentation
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| Mon, 12 May 2008 18:40:17 -0400 |
Joseph Turian |
Created exceptions.py
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| Mon, 12 May 2008 17:40:06 -0400 |
Frederic Bastien |
bugfix, we should advence by the minibatch size.
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| Mon, 12 May 2008 16:51:54 -0400 |
Frederic Bastien |
bugfix: make the iterator advance
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| Mon, 12 May 2008 16:13:48 -0400 |
Frederic Bastien |
merge
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| Mon, 12 May 2008 16:12:29 -0400 |
Frederic Bastien |
optimization
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| Mon, 12 May 2008 16:11:24 -0400 |
Yoshua Bengio |
Fixes in CacheDataSet
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| Mon, 12 May 2008 15:51:43 -0400 |
Frederic Bastien |
Automated merge with ssh://p-omega1@lgcm.iro.umontreal.ca/tlearn
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| Mon, 12 May 2008 15:51:30 -0400 |
Frederic Bastien |
bugfix
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| Mon, 12 May 2008 15:50:28 -0400 |
Yoshua Bengio |
Trying to make CacheDataSet work
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| Mon, 12 May 2008 15:08:18 -0400 |
Frederic Bastien |
Automated merge with ssh://p-omega1@lgcm.iro.umontreal.ca/tlearn
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| Mon, 12 May 2008 14:15:16 -0400 |
Frederic Bastien |
Automated merge with ssh://p-omega1@lgcm.iro.umontreal.ca/tlearn
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| Mon, 12 May 2008 14:13:39 -0400 |
Frederic Bastien |
...
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| Mon, 12 May 2008 14:13:19 -0400 |
Frederic Bastien |
bugfix
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| Wed, 07 May 2008 16:26:28 -0400 |
Frederic Bastien |
typo
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| Mon, 12 May 2008 14:30:21 -0400 |
Yoshua Bengio |
Fixed bugs in dataset to make test_mlp.py work
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| Fri, 09 May 2008 17:38:57 -0400 |
Yoshua Bengio |
Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
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| Thu, 08 May 2008 00:54:14 -0400 |
Joseph Turian |
Updated documentation slightly
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| Wed, 07 May 2008 20:51:24 -0400 |
Yoshua Bengio |
minor edits
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| Wed, 07 May 2008 16:22:28 -0400 |
Frederic Bastien |
bugfix
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| Wed, 07 May 2008 16:17:25 -0400 |
Frederic Bastien |
bugfix
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| Tue, 06 May 2008 22:24:55 -0400 |
bengioy |
Worked on OneShotTLearner and implementation of LinearRegression
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| Tue, 06 May 2008 16:34:48 -0400 |
Frederic Bastien |
bugfix, we keep all the line, but only a some columns
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| Tue, 06 May 2008 16:01:53 -0400 |
Frederic Bastien |
by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
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