predict.rforest: Predict method for the rforest function

In radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Predict method for the rforest function

Description

Predict method for the rforest function

Usage

## S3 method for class 'rforest'
predict(
  object,
  pred_data = NULL,
  pred_cmd = "",
  pred_names = "",
  OOB = NULL,
  dec = 3,
  envir = parent.frame(),
  ...
)

Arguments

object	Return value from rforest
pred_data	Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
pred_cmd	Generate predictions using a command. For example, 'pclass = levels(pclass)' would produce predictions for the different levels of factor ‘pclass'. To add another variable, create a vector of prediction strings, (e.g., c(’pclass = levels(pclass)', 'age = seq(0,100,20)')
pred_names	Names for the predictions to be stored. If one name is provided, only the first column of predictions is stored. If empty, the levels in the response variable of the rforest model will be used
OOB	Use Out-Of-Bag predictions (TRUE or FALSE). Relevant when evaluating predictions for the training sample. If set to NULL, datasets will be compared to determine if OOB predictions should be used
dec	Number of decimals to show
envir	Environment to extract data from
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/rforest.html for an example in Radiant

See Also

rforest to generate the result

summary.rforest to summarize results

Examples

result <- rforest(titanic, "survived", c("pclass", "sex"), lev = "Yes")
predict(result, pred_cmd = "pclass = levels(pclass)")
result <- rforest(diamonds, "price", "carat:color", type = "regression")
predict(result, pred_cmd = "carat = 1:3")
predict(result, pred_data = diamonds) %>% head()

radiant.model documentation built on Oct. 16, 2023, 9:06 a.m.