Mercurial > pylearn
view test_dataset.py @ 48:b6730f9a336d
Fixing MinibatchDataSet getitem
author | bengioy@grenat.iro.umontreal.ca |
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date | Tue, 29 Apr 2008 13:40:13 -0400 |
parents | a5c70dc42972 |
children | e3ac93e27e16 |
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from dataset import * from math import * import numpy def test1(): global a,ds a = numpy.random.rand(10,4) print a ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) print "len(ds)=",len(ds) print "example 0 = ",ds[0] print "x=",ds["x"] print "x|y" for x,y in ds("x","y"): print x,y minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) minibatch = minibatch_iterator.__iter__().next() print "minibatch=",minibatch for var in minibatch: print "var=",var print "take a slice and look at field y",ds[1:6:2]["y"] test1()