Mercurial > pylearn
view test_mlp.py @ 142:ad144fa72bf5
Automated merge with ssh://p-omega1@lgcm.iro.umontreal.ca/tlearn
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Mon, 12 May 2008 14:15:16 -0400 |
parents | b4657441dd65 |
children | 0d8e721cc63c |
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from mlp import * import dataset def test0(): nnet = OneHiddenLayerNNetClassifier(10,3,.1,1000) training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]]), {'input':slice(2),'target':2}) fprop=nnet(training_set) print fprop(training_set) test0()