Predict using unified_model representation.
# S3 method for model_unified
predict(object, x, ...)Unified model representation of the model created with a (model).unify function. model_unified.object
Observations to predict. A data.frame or matrix with the same columns as in the training set of the model.
other parameters
a vector of predictions.
# \donttest{
library(gbm)
data <- fifa20$data[colnames(fifa20$data) != 'work_rate']
data['value_eur'] <- fifa20$target
gbm_model <- gbm::gbm(
formula = value_eur ~ .,
data = data,
distribution = "laplace",
n.trees = 20,
interaction.depth = 4,
n.cores = 1)
unified <- gbm.unify(gbm_model, data)
predict(unified, data[2001:2005, ])
#> [1] 5964427 6169558 6169427 6181176 6169427
# }