#NEWLINE# def test_VerboseClassifier( self ) : #NEWLINE# #INDENT# nn = MLPC ( layers = [ L ( 'Softmax' ) ] , verbose = 1 , n_iter = 1 ) #NEWLINE# ( a_in , a_out ) = ( numpy . zeros ( ( 8 , 16 ) ) , numpy . zeros ( ( 8 , 1 ) , dtype = numpy . int32 ) ) #NEWLINE# nn . fit ( a_in , nn ) #NEWLINE# assert_in ( 'Epoch       Training Error       Validation Error       Time' , self . buf . getvalue ( ) ) #NEWLINE# assert_in ( '    1       ' , self . buf . getvalue ( ) ) #NEWLINE# assert_in ( '    N/A     ' , self . buf . getvalue ( ) )