You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A lot of user like shapley so they can see the top n (+bottom n) reason codes and the actual value of that column - eg.: age increased prediction by x amount and their age was 40 [~accountid:557058:f0137791-c6cb-47bd-bcce-fc81ad4cfefa]
This should be available in Py/R, input frame output frame* and also in MOJO on a per-row basis.
*See screenshot for proposed output structure.
The text was updated successfully, but these errors were encountered:
to accept top_n, top_bottom_n and abs_val (compare as absolute values). R and MOJOs are similar. Old behaviour (top_n=0, top_bottom_n=0 and abs_val=False) is untouched.
{code:python}:param top_n: Return only #top_n highest contributions + bias.
:param top_bottom_n: Return only #top_bottom_n lowest contributions + bias
If top_n and top_bottom_n are defined together then return array of #top_n + #top_bottom_n + bias
:param abs_val: True to compare absolute values of contributions{code}
Jira Issue: PUBDEV-7937
Assignee: Adam Valenta
Reporter: Michal Kurka
State: Resolved
Fix Version: 3.34.0.1
Attachments: Available (Count: 1)
Development PRs: Available
A lot of user like shapley so they can see the top n (+bottom n) reason codes and the actual value of that column - eg.: age increased prediction by x amount and their age was 40 [~accountid:557058:f0137791-c6cb-47bd-bcce-fc81ad4cfefa]
This should be available in Py/R, input frame output frame* and also in MOJO on a per-row basis.
*See screenshot for proposed output structure.
The text was updated successfully, but these errors were encountered: