saveGPModel: Save a 'GPModel'

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

Save a GPModel

Description

Save a GPModel

Usage

saveGPModel(gp_model, filename)

Arguments

gp_model	a GPModel
filename	filename for saving

Value

A GPModel

Author(s)

Fabio Sigrist

Examples

data(GPBoost_data, package = "gpboost")
# Add intercept column
X1 <- cbind(rep(1,dim(X)[1]),X)
X_test1 <- cbind(rep(1,dim(X_test)[1]),X_test)

gp_model <- fitGPModel(group_data = group_data[,1], y = y, X = X1, likelihood="gaussian")
pred <- predict(gp_model, group_data_pred = group_data_test[,1], 
                X_pred = X_test1, predict_var = TRUE)
# Save model to file
filename <- tempfile(fileext = ".json")
saveGPModel(gp_model,filename = filename)
# Load from file and make predictions again
gp_model_loaded <- loadGPModel(filename = filename)
pred_loaded <- predict(gp_model_loaded, group_data_pred = group_data_test[,1], 
                       X_pred = X_test1, predict_var = TRUE)
# Check equality
pred$mu - pred_loaded$mu
pred$var - pred_loaded$var

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