gpboost (version 0.6.1)

gpb.load: Load GPBoost model

Description

Load GPBoost takes in either a file path or model string. If both are provided, Load will default to loading from file Boosters with gp_models can only be loaded from file.

Usage

gpb.load(filename = NULL, model_str = NULL)

Arguments

filename

path of model file

model_str

a str containing the model

Value

gpb.Booster

Examples

# NOT RUN {
library(gpboost)
data(GPBoost_data, package = "gpboost")

# Train model and make prediction
gp_model <- GPModel(group_data = group_data[,1], likelihood = "gaussian")
bst <- gpboost(data = X,
               label = y,
               gp_model = gp_model,
               nrounds = 16,
               learning_rate = 0.05,
               max_depth = 6,
               min_data_in_leaf = 5,
               objective = "regression_l2",
               verbose = 0)
pred <- predict(bst, data = X_test, group_data_pred = group_data_test[,1],
                predict_var= TRUE)
# Save model to file
filename <- tempfile(fileext = ".json")
gpb.save(bst,filename = filename)
# Load from file and make predictions again
bst_loaded <- gpb.load(filename = filename)
pred_loaded <- predict(bst_loaded, data = X_test, group_data_pred = group_data_test[,1],
                       predict_var= TRUE)
# Check equality
pred$fixed_effect - pred_loaded$fixed_effect
pred$random_effect_mean - pred_loaded$random_effect_mean
pred$random_effect_cov - pred_loaded$random_effect_cov
# }