Load Forest Samples from JSON

Load a container of forest samples from json

This function is intended for advanced use cases in which users require detailed control of sampling algorithms and data structures. Minimal input validation and error checks are performed – users are responsible for providing the correct inputs. For tutorials on the "proper" usage of the stochtree's advanced workflow, we provide several vignettes at stochtree.ai

Usage

loadForestContainerJson(json_object, json_forest_label)

Arguments

json_object

Object of class CppJson

json_forest_label

Label referring to a particular forest (i.e. "forest_0") in the overall json hierarchy

Value

ForestSamples object

Examples

X <- matrix(runif(10*100), ncol = 10)
y <- -5 + 10*(X[,1] > 0.5) + rnorm(100)
bart_model <- bart(X, y, num_gfr=0, num_mcmc=10)
bart_json <- saveBARTModelToJson(bart_model)
mean_forest <- loadForestContainerJson(bart_json, "forest_0")