My PR to the #EconML #PyWhy #opensource #causalai project was merged! 🎉 I made a small contribution by allowing a flexible choice of evaluation metric for scoring both the first stage and final stage models in Double Machine Learning (#DML). Before, only the mean square error (MSE) was implemented. But as an ML practitioner "in the trenches" I have found that MSE is hard to interpret and compare across models. My new functions allow that 🙂 #CausalInference #machinelearning #datascience

Next time someone says, "correlation isn't causation" I now can say, "didn't you keep reading in the stats textbook? The part about causal inference?"

Anyhow, the justifications remind me of Bayesian statistics, where you take prior knowledge and that allows you to say and test something more than "associations do/don't exist" #pywhy

https://www.youtube.com/results?search_query=causal+inference+pywhy

The PyWhy Causal-learn Discord community is fantastic! The package documentation is equally impressive, making experiential learning both fun and informative. Truly, it’s another exceptional tool for causal discovery at our fingertips! ❤️
#causallearn #pywhy #rstats #Python #reticulate
https://www.kenkoonwong.com/blog/causal-learn/