predict.ranger: Ranger prediction
Description
Prediction with new data and a saved forest from Ranger.
Usage
"predict"(object, data, predict.all = FALSE, seed = NULL, num.threads = NULL, verbose = TRUE, ...)
Arguments
object
Ranger ranger object.
data
New test data of class data.frame or gwaa.data (GenABEL).
predict.all
Return a matrix with individual predictions for each tree instead of aggregated predictions for all trees (classification and regression only).
seed
Random seed used in Ranger.
num.threads
Number of threads. Default is number of CPUs available.
verbose
Verbose output on or off.
...
further arguments passed to or from other methods.
Value
Object of class ranger.prediction with elements
predictions |
| Predicted classes/values (only for classification and regression) |
unique.death.times |
| Unique death times (only for survival). |
chf |
| Estimated cumulative hazard function for each sample (only for survival). |
survival |
| Estimated survival function for each sample (only for survival). |
num.trees |
| Number of trees. |
num.independent.variables |
| Number of independent variables. |
treetype |
| Type of forest/tree. Classification, regression or survival. |
Details
For classification and predict.all = TRUE, a matrix of factor levels is returned.
To retrieve the corresponding factor levels, use rf$forest$levels, if rf is the ranger object.