How to apply different type of prior distribution to each media feature

[BigDataRPG]

Hi everyone,

From now on LightWeight MMM, I can use only one type parameter to apply in every single media channel features.

My question are

1. Can I customize one type prior distribution on one media channel for tuning the model contribution results ?
2. If I would like to bias result contribution from each media channel, what should I do to bias the result. For example, try to increase result from channel A and reduce a bit on channel B and let's model run optimize to get result right after that.

Thanks in advance everyone