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
We currently have a simple way of analyzing variation of experimental results in math.variation in ck-analytics repo. We use density via gaussian_kde and can detect multiple expected values, i.e. to warn that there are several states and features to separate them should be found. However, we do not calculate confidence interval, etc (since which such approach we do not need it, but instead we look at the delta and if there is more than 1 expected value).
We should check that it works correctly and possibly improve it (calculate confidence interval, etc)...
We currently have a simple way of analyzing variation of experimental results in math.variation in ck-analytics repo. We use density via gaussian_kde and can detect multiple expected values, i.e. to warn that there are several states and features to separate them should be found. However, we do not calculate confidence interval, etc (since which such approach we do not need it, but instead we look at the delta and if there is more than 1 expected value).
We should check that it works correctly and possibly improve it (calculate confidence interval, etc)...
Moved from CK: mlcommons/ck#26
The text was updated successfully, but these errors were encountered: