Mercurial > pylearn

comparison dataset.py @ 320:b1da46b9b901

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
bug fixed when initializing NArraysDataSet with 1-d arrays. This now raises an Exception
author Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
date Wed, 11 Jun 2008 17:11:37 -0400
parents 6441e568745e
children f03ae06fadc8
comparison
equal deleted inserted replaced
319:6441e568745e 320:b1da46b9b901
1059 ArrayFieldsDataSet.__init__(self,**kwargs) 1059 ArrayFieldsDataSet.__init__(self,**kwargs)
1060 assert len(data_arrays) == len(fieldnames) 1060 assert len(data_arrays) == len(fieldnames)
1061 assert len(fieldnames) > 0 1061 assert len(fieldnames) > 0
1062 all_matrix_sizes = map(lambda x : numpy.asmatrix(x).shape[0] , data_arrays) 1062 all_matrix_sizes = map(lambda x : numpy.asmatrix(x).shape[0] , data_arrays)
1063 num_examples = max(all_matrix_sizes) 1063 num_examples = max(all_matrix_sizes)
1064 if num_examples == 1 :
1065 # problem, do we transpose all arrays? is there only one example?
1066 raise Exception("wrong initialization, unknow behaviour with 1-d arrays")
1064 self._fieldnames = fieldnames 1067 self._fieldnames = fieldnames
1065 self._datas = [] 1068 self._datas = []
1066 for k in range(len(data_arrays)) : 1069 for k in range(len(data_arrays)) :
1067 self._datas.append( numpy.asmatrix(data_arrays[k]) ) 1070 self._datas.append( numpy.asmatrix(data_arrays[k]) )
1068 if self._datas[-1].shape[0] == 1 and self._datas[-1].shape[1] == num_examples : 1071 if self._datas[-1].shape[0] == 1 and self._datas[-1].shape[1] == num_examples :