EconML
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ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
@kant @Padarn @kbattocchi Hello, my understanding is that one can use SinglePolicyInterpreter to apply to new instances (unseen data) in order to decide if a treatment shall be given. Is...
PR to add simple examples to public module pages in the docs.
Hi, I just start using EconML for estimation of discrete treatment and diseases outcomes by DROrthoForest. For example, I have treatment T = [0,1,0,1,1,1,0,0,1,0,...] and disease outcomes Y = [1,0,1,1,0,1,0,1,1,...]....
@gregorybchris @kbattocchi Hi, I have this output: However, I am not sure what the T0 and T1 map to? My two treatment features are both integers from 0-10. How do...
Hi team. Thanks for this amazing framework! Going through many notebooks, and presentations, and sneaking into the issues, I couldn't find a proper "intervention estimation" workflow. My setting is as...
Hi there, thanks for your great job for creating this awesome package. I've been learning sample notebooks. It seems like CausalForestDML can catch nonparametric heterogeneity perfectly when Xs are other...
Hi, I would like to make sure that what I understood of the difference between OrthoIV and DeepIV is correct/complete. Can we say that : DeepIV makes less restrictive assumptions...
I am planing to estimate CATE for different segments in my dataset using random causal forest. The data on the individual level is not available but the means and variances...
This creates an econml.panel package, adds a few utilities to it, and moves DynamicDML from econml.dynamic.dml to econml.panel.dml