Keith Battocchi

This is by design; as the error message indicates, if you'd like to use the integrated dowhy functionality you should install the `dowhy` extra (`pip install econml[dowhy]`), not only the...

@titubs Could you include both the full stack trace as well as the output of `pip list`? I suspect the issue is actually that either `import dowhy` or `from dowhy...

You should be able to save it using the standard python `pickle` module.

I'm afraid I'm not fully sure I understand what you're asking. It sounds like since you have (different) randomized treatments in each period, you can compute the treatment effect in...

For your second bullet, imagine, for example, that ice cream demand is high when temperatures are above 50 degrees Fahrenheit and low when temperatures are below 50 degrees. Then if...

What version of econml are you using? Can you provide a repro including some dummy data? This works for me, both in econml 0.14.1 and in our new 0.15.0b1 beta:...

CausalForestDML computes a model which is linear in T, roughly Y = \theta(X) T + \beta(X) + Y_0(X,W) where theta and beta are forest-based models, and Y_0 is a nuisance...

It's hard to say based on the information you provided, but here are a few things to keep in mind: * What do the confidence intervals look like? Depending on...

What error message are you seeing? Continuous treatments are supported; see section 3.4 of [this sample notebook](https://github.com/py-why/EconML/blob/main/notebooks/Double%20Machine%20Learning%20Examples.ipynb), for example.

Could you print out the output of `pip list`? I think the issue is just that you have incompatible versions of econml and scikit-learn.