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Hi, I wonder if the documentation in probability_of_improvement function in metrics.py is wrong? Specifically,
probability_of_improvement
scores_x: A matrix of size (num_runs_x x num_tasks) where scores_x[m][n] represent the score on run n of task m for algorithm X. rliable/rliable/metrics.py Line 77 in cc5eff5 scores_x: A matrix of size (`num_runs_x` x `num_tasks`) where scores_x[m][n] )
scores_x: A matrix of size (num_runs_x x num_tasks) where scores_x[m][n] represent the score on run n of task m for algorithm X.
num_runs_x
num_tasks
n
m
X
rliable/rliable/metrics.py
Line 77 in cc5eff5
Should scores_x[n][m] be the score on run n of task m for algorithm X?
scores_x[n][m]
Thanks.
The text was updated successfully, but these errors were encountered:
You are right -- I think it should be that score_x[n][m] is score on run n on task m around looking at the code here: https://github.com/google-research/rliable/blob/master/rliable/metrics.py#L92. Will fix.
score_x[n][m]
Sorry, something went wrong.
Thanks for the clarification.
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Hi, I wonder if the documentation in
probability_of_improvement
function in metrics.py is wrong?Specifically,
Should
scores_x[n][m]
be the score on runn
of taskm
for algorithmX
?Thanks.
The text was updated successfully, but these errors were encountered: