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changeset 1124:0f184b5e7a3f

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YB: comment on minibatches for dataset.txt
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Wed, 15 Sep 2010 10:25:35 -0400
parents 1a1c0c3adcca
children 5387666d49b4
files doc/v2_planning/dataset.txt
diffstat 1 files changed, 5 insertions(+), 0 deletions(-) [+]
line wrap: on
line diff
--- a/doc/v2_planning/dataset.txt	Wed Sep 15 09:42:11 2010 -0400
+++ b/doc/v2_planning/dataset.txt	Wed Sep 15 10:25:35 2010 -0400
@@ -264,6 +264,11 @@
 use numpy arrays (for numeric data) or lists (for anything else) to store
 mini-batches' data. So I vote for 'no'.
 
+YB: I agree that a mini-batch should definitely be safely assumed
+to fit in memory. That makes it at least in principle semantically
+different from a dataset. But barring that restriction, it might
+share of the properties of a dataset.
+
 A dataset is a learner
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