Feeding a dataframe to get a series of probability based on a causal model

[kenneth-lee-ch]

Hi,

How can I feed the causal model with a pandas dataframe to get the corresponding probabilities in the most efficient way? I currently use csl.causalImpact(int_cbn, on=node, doing = parents)

Many thanks!

[phwuil]

Hi @kenneth-lee-ch , can you be more precise ? Maybe with a sample of the dataframes you want to use ?