convertPreprocessorToJson: Convert the persistent aspects of a covariate preprocessor to...
In stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
convertPreprocessorToJson R Documentation
Convert the persistent aspects of a covariate preprocessor to (in-memory) C++ JSON object
Description
Convert the persistent aspects of a covariate preprocessor to (in-memory) C++ JSON object
Usage
convertPreprocessorToJson(object)
Arguments
object
List containing information on variables, including train set
categories for categorical variables
Value
wrapper around in-memory C++ JSON object
Examples
cov_mat <- matrix(1:12, ncol = 3)
preprocess_list <- preprocessTrainData(cov_mat)
preprocessor_json <- convertPreprocessorToJson(preprocess_list$metadata)
stochtree documentation built on April 4, 2025, 2:11 a.m.
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| convertPreprocessorToJson | R Documentation |
Convert the persistent aspects of a covariate preprocessor to (in-memory) C++ JSON object
Description
Convert the persistent aspects of a covariate preprocessor to (in-memory) C++ JSON object
Usage
convertPreprocessorToJson(object)
Arguments
object |
List containing information on variables, including train set categories for categorical variables |
Value
wrapper around in-memory C++ JSON object
Examples
cov_mat <- matrix(1:12, ncol = 3)
preprocess_list <- preprocessTrainData(cov_mat)
preprocessor_json <- convertPreprocessorToJson(preprocess_list$metadata)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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