predict-RFNode: predict-RFNode

In theo-s/Rforestry_R: Random Forests

Description

Return the prediction from the current node if it is a leaf node, otherwise it will recursively call its children according to the 'splitFeature' and 'splitValue'.

Usage

## S4 method for signature 'RFNode'
predict(object, feature.new, x, y, se = NULL, avgfunc,
  categoricalFeatureCols)

Arguments

object	A 'RFNode“ object.
feature.new	A data frame of testing predictors.
x	A data frame of all training predictors.
y	A vector of all training responses.
se	standard errors of y
avgfunc	An averaging function to average observations in the node. The function is used for prediction. The input of this function should be a dataframe of predictors 'x' and a vector of outcomes 'y'. The output is a scalar. The default function is to take the mean of vector 'y'.
categoricalFeatureCols	A list of index for all categorical data. Used for trees to detect categorical columns.

Value

A vector of predicted responses.

theo-s/Rforestry_R documentation built on Dec. 23, 2021, 9:55 a.m.