Mercurial > pylearn

comparison learner.py @ 326:fe57b96f33d4

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made ExampleWiseMean Op
author Olivier Breuleux <breuleuo@iro.umontreal.ca>
date Fri, 13 Jun 2008 15:26:35 -0400
parents 78cc8fe3bbe9
children
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325:7a734dba4cac 326:fe57b96f33d4
15 15
16 The offline learning scenario is the standard and most common one 16 The offline learning scenario is the standard and most common one
17 in machine learning: an offline learning algorithm is applied 17 in machine learning: an offline learning algorithm is applied
18 to a training dataset, 18 to a training dataset,
19 19
20 model = learning_algorithm(training_set) 20 model = learning_algorithm(training_set)
21 21
22 resulting in a fully trained model that can be applied to another dataset 22 resulting in a fully trained model that can be applied to another dataset
23 in order to perform some desired computation: 23 in order to perform some desired computation:
24 24
25 output_dataset = model(input_dataset) 25 output_dataset = model(input_dataset)