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In the calibration.R, qbeta function was used to calculate true probability in the calibration_plot, such as "qbeta(c(llb=0.025, lb=0.25, y=0.5, ub=0.75, uub=0.965), 0.5+positive, 0.5+bucket_size-positive)". Sorry I can't understand that. Could you please provide some expanations or some papers.
Thank you!
The text was updated successfully, but these errors were encountered:
liuhongwei2018
changed the title
calibration_plot
Cant't understand the qbeta function in calibration_plot
Sep 18, 2019
It should actually be 0.975 to be even on both sides... so there's a small issue there.
It's using the fact that the beta function is the conjugate prior of the Bernoulli.
In the calibration.R, qbeta function was used to calculate true probability in the calibration_plot, such as "qbeta(c(llb=0.025, lb=0.25, y=0.5, ub=0.75, uub=0.965), 0.5+positive, 0.5+bucket_size-positive)". Sorry I can't understand that. Could you please provide some expanations or some papers.
Thank you!
The text was updated successfully, but these errors were encountered: