From f67d7c24e09d27556c60657ffd715b4879a399c9 Mon Sep 17 00:00:00 2001 From: Jasper Ginn Date: Sat, 9 Jan 2021 09:11:07 +0100 Subject: [PATCH] docs: minor rewrites --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0542dad..f670aaa 100644 --- a/README.md +++ b/README.md @@ -161,8 +161,8 @@ is the desired significance level. The piven loss function combines these objectives into a single loss. The loss function takes three arguments. 1. ![eq](https://latex.codecogs.com/gif.latex?\alpha): the desired significance level. Given this value, we aim for PI -such that, if we re-run our experiments many times, the PI would include the true values on our outcome -metric (1 - ![eq](https://latex.codecogs.com/gif.latex?\alpha)) times. +such that, if we re-run our experiments many times, the PI would include the true value on our outcome + ![eq](https://latex.codecogs.com/gif.latex?(1-\alpha)&space;*&space;100) times. 2. ![eq](https://latex.codecogs.com/gif.latex?\lambda): this is a hyperparameter controlling the relative importance of PI width versus PI coverage. As ![eq](https://latex.codecogs.com/gif.latex?\lambda) shrinks down to 0, you will observe narrower PI at the cost of lower coverage.