Predict using unified_model representation.
# S3 method for class '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{
if (requireNamespace("gbm", quietly = TRUE)) {
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] 5513243 5918610 5772864 5781621 5772864