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Hello Keith,
@kbattocchi
I am trying to print the error/MSE at each iteration during train when tuning in auto mode?. I am using this code:
```
causal_forest = CausalForestDML(criterion='het',…
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Recently I am trying to use the **multi_arm_causal_forest** to deal with a multi-treatment problem. Our experiment has one control and two treatments conditions. There is also a natural order associat…
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I am using quantile forest in the GRF package on my data which is around 12 million records. I have a couple of questions:
- The model trains fine, ie, in around 1 hour when i use 300 trees (am run…
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Rename python package from `causal_forest` to `cforest`.
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In layman's terms, can you please explain the process through which the policy_tree function inputs the double_robust_scores (i.e., the Gamma.matrix from causal forest that is interpreted as rewards),…
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I am using policytree, version 1.2.0, and I am specifically trying to implement policy learning on the doubly robust reward estimates derived from an honest causal forest (GRF package). While I believ…
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After estimating causal survival forest (Cui et al, 2023), is it possible to compute and report the debiased error (R-loss function) and the excess error (the Monte-carlo error)? Even after running th…
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Hi,
the causal_forest function of the R grf package has a very useful option 'clusters', that allows for cluster-robust estimation.
I wonder if there is any plan to implement this feature in Causal…
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Hi! I'm using bootstrap to derive confidence interval for ORF. I notice that the bootstrap estimator relies on random sampling with replacement. This raises a concern with respect to ORF (forest-based…
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**Goal:**
Parallelize the `causal_forest` at the right level.
**How to do it:**
No clear solution in mind. Maybe parallel processes for trees and multi threading for observation (when predicting)…