gpb.dump: Dump GPBoost model to json

In gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

Dump GPBoost model to json

Description

Dump GPBoost model to json

Usage

gpb.dump(booster, num_iteration = NULL)

Arguments

booster	Object of class gpb.Booster
num_iteration	number of iteration want to predict with, NULL or <= 0 means use best iteration

Value

json format of model

Examples

library(gpboost)
data(agaricus.train, package = "gpboost")
train <- agaricus.train
dtrain <- gpb.Dataset(train$data, label = train$label)
data(agaricus.test, package = "gpboost")
test <- agaricus.test
dtest <- gpb.Dataset.create.valid(dtrain, test$data, label = test$label)
params <- list(objective = "regression", metric = "l2")
valids <- list(test = dtest)
model <- gpb.train(
  params = params
  , data = dtrain
  , nrounds = 10L
  , valids = valids
  , min_data = 1L
  , learning_rate = 1.0
  , early_stopping_rounds = 5L
)
json_model <- gpb.dump(model)

gpboost documentation built on Oct. 24, 2023, 9:09 a.m.