Giters

py-why / EconML

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Home Page:https://www.microsoft.com/en-us/research/project/alice/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Same Issue: codes don't work in Deepiv setting inference='bootstrap'

Ammdml opened this issue · comments

commented

The code seems to work well without setting inference='bootstrap', but I encounter an error when attempting to obtain inference using bootstrap when I use the example in Notebook or my data. I found the same issue in github #367, but still no solution.
If any possible , provide information about the version environment settings used in the example Deepiv code, including details about the versions of Python, EconML, Keras, and TensorFlow that were employed? Besides, I am interested in obtaining some example code for performing inference in Deepiv, particularly when using the bootstrap method.