Are you on the latest chainladder version?
Describe the bug in words
Working on converting some xp.ones to nan_triangle. came across this logic. not sure why a full nan_triangle would be needed for ATA factors.
will leave this open for a week or so in case anyone recalls the original intent
How can the bug be reproduced?
raa = cl.load_sample("raa")
raa.age_to_age.nan_triangle
What is the expected behavior?
[[ 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. nan]
[ 1. 1. 1. 1. 1. 1. 1. nan nan]
[ 1. 1. 1. 1. 1. 1. nan nan nan]
[ 1. 1. 1. 1. 1. nan nan nan nan]
[ 1. 1. 1. 1. nan nan nan nan nan]
[ 1. 1. 1. nan nan nan nan nan nan]
[ 1. 1. nan nan nan nan nan nan nan]
[ 1. nan nan nan nan nan nan nan nan]]
Would you be willing to contribute this ticket?
Are you on the latest chainladder version?
Describe the bug in words
Working on converting some xp.ones to nan_triangle. came across this logic. not sure why a full nan_triangle would be needed for ATA factors.
will leave this open for a week or so in case anyone recalls the original intent
How can the bug be reproduced?
What is the expected behavior?
Would you be willing to contribute this ticket?