Mercurial > pylearn
view _test_dataset.py @ 6:d5738b79089a
Removed MinibatchIterator and instead made minibatch_size a field of all DataSets,
so that they can all iterate over minibatches, optionally.
author | bengioy@bengiomac.local |
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date | Mon, 24 Mar 2008 09:04:06 -0400 |
parents | f7dcfb5f9d5b |
children | 6f8f338686db |
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from dataset import * from math import * import unittest def _sum_all(a): s=a while isinstance(s,numpy.ndarray): s=sum(s) return s class T_arraydataset(unittest.TestCase): def setUp(self): numpy.random.seed(123456) def test0(self): a=ArrayDataSet(data=numpy.random.rand(8,3),fields={"x":slice(2),"y":slice(1,3)},minibatch_size=1) s=0 for example in a: s+=_sum_all(example.x) print s self.failUnless(abs(s-11.4674133)<1e-6) a.minibatch_size=2 for mb in a: print mb if __name__ == '__main__': unittest.main()