c l a s s A = [ ( random . n o r m a l v a r i a t e ( −1.5 , 1 ) ,
random . n o r m a l v a r i a t e ( 0 . 5 , 1 ) ,
1.0)
f o r i in r a n g e ( 5 ) ] + \
[ ( random . n o r m a l v a r i a t e ( 1 . 5 , 1 ) ,
random . n o r m a l v a r i a t e ( 0 . 5 , 1 ) ,
1.0)
f o r i in r a n g e ( 5 ) ]
c l a s s B = [ ( random . n o r m a l v a r i a t e ( 0 . 0 , 0 . 5 ) ,
random . n o r m a l v a r i a t e ( −0.5 , 0 . 5 ) ,
−1.0)
f o r i in r a n g e ( 1 0 ) ]
data = c l a s s A + c l a s s B
random . s h u f f l e ( data )
This will create ten datapoints for e