Is there an equivalent to get.forest.weights() from the grf R package?

[RodrigoGrijalba]

I have been looking at the source code and the documentation, and I haven't been able to find a similar method for the RegressionForest class. Although I might have missed it. My understanding is that predict_alpha_and_jac() use these kernel weights, but alpha in this method refers to the estimated gradient of the score function, not the weights. It appears that the kernel weights are calculated for several of the methods but there is not one method that returns the kernel weights themselves.