-
## Description
When running `make install-test-requirements` I get the error noted below
## Context
Attempting to perform the appropriate make steps required for CI.
## Steps to Reproduce
1. …
-
## Description
The data generated graphs in CausalNex using NOTEARS algorithm is a good place to start working on novel causal inference problems. However, as the problem at hand like in my field of …
-
Hello,
I was curious to understand if CausalNex can provide outputs on the Heterogeneity effect.
For example, Instead of saying **"ON AVERAGE an ad causes some quantified uplift in sales across a…
-
## Description
I'm trying to obtain an interventional data distribution, i.e., I want to intervene on a specific node and see how that affects the conditional probabilities in the entire graph. Curre…
-
Hi, I'm struggling a little bit when evaluating some network alternatives. I know that is possible to get the final node [metrics:](https://causalnex.readthedocs.io/en/latest/source/api_docs/causalnex…
-
## Description
Following the tutorial raises the following:
`bn = bn.fit_cpds(train, method="BayesianEstimator", bayes_prior="K2")`
Would be great to have a fully working jupyter notebook as an…
-
## Description
I want to know an input data and result for dynotears.
## Context
I tried to use dynotears.from_pandas using DREAM4 challenge data, but get an empty graph.
I constructed a list of…
-
Hi QB––
## Description
I am running a do-calculus on a small dataset (116x32) with 2 to 4 discretized buckets.
The BN fits the CPDs in 2 sec, so relatively good perf.
However a simple do-interve…
-
## Description
when i use 'from_pandas' to learning causal map by notears,i run 'watch -n 1 free -m',it shows that 3/16GB used.i run 370 thousand data but only use memory 3G?how to improve efficiency…
-
Hello,
Thanks for all the time that you guys have put into this - it is a great package and the docs are fantastic.
I have a question about usage/something that doesn't make sense to me.
So I…