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Is there any parameter/variable which states the minimum number of "uncensored samples" required to be at a leaf node? I think it's called "a minimum of d0 > 0 unique deaths" in the original paper.
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Would require S3 gg_ methods for formatting the data output. Would mean no support for survival, or minimal depth.
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Determine which index best discriminates between burned and unburned areas.
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Support weighted feature sampling in cuML RF similar to sklearn.
eg:
https://github.com/scikit-learn/scikit-learn/blob/1495f69242646d239d89a5713982946b8ffcf9d9/sklearn/ensemble/forest.py#L217
s…
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Many of these are in the file [comparison_estimators.R](https://github.com/som-shahlab/Metalearners-Benchmark/blob/master/comparison_estimators.R), which should be part of the package.
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Below is my code to estimate treatment effects. There is a much wider confidence interval of ATT (i.e., [-200k, 900k]) by Causal Forest DML model, compared to that calculated by linear DML model (i.e,…
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**Describe the bug**
the random forest regressor with sklearnex patch produce much larger MSE than the original sklearn random forest regressor.
The example in the document, compares implementat…
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### Problem Description
Hello,
Is there any future plan to have TreeExplainer being able to handle scikit-survival's Random Survival Forest? I would like to generate Shaply values for my RSF's p…
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Hey!
This project is great and I use it a lot for my database.
The only issues I'm having are that I cannot pass in null values, e.g.:
http://127.0.0.1:8282/mgl/create_new_rand_forest_value?c…