Mercurial > pylearn
view test_mlp.py @ 167:4803cb76e26b
Updated documentation
author | Joseph Turian <turian@gmail.com> |
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date | Mon, 12 May 2008 18:51:42 -0400 |
parents | 0d8e721cc63c |
children | 2698c0feeb54 |
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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) output_ds = fprop(training_set) for fieldname in output_ds.fieldNames(): print fieldname+"=",output_ds[fieldname] test0()