ranger (version 0.6.0)

predict.ranger.forest: Ranger prediction

Description

Prediction with new data and a saved forest from Ranger.

Usage

"predict"(object, data, predict.all = FALSE, num.trees = object$num.trees, type = "response", seed = NULL, num.threads = NULL, verbose = TRUE, ...)

Arguments

object

Ranger ranger.forest 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).

num.trees

Number of trees used for prediction. The first num.trees in the forest are used.

type

Type of prediction. One of 'response' or 'terminalNodes' with default 'response'. See below for details.

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 type = 'response' (the default), the predicted classes (classification), predicted numeric values (regression), predicted probabilities (probability estimation) or survival probabilities (survival) are returned. For type = 'terminalNodes', the IDs of the terminal node in each tree for each observation in the given dataset are returned.

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.

See Also

ranger