predict-RandomForestSemisupervised-method: Function to predict inputs in Decision Tree

In SSLR: Semi-Supervised Classification, Regression and Clustering Methods

Description

Function to predict inputs in Decision Tree

Usage

## S4 method for signature 'RandomForestSemisupervised'
predict(
  object,
  inputs,
  type = "class",
  confident = "max_prob",
  allowParallel = TRUE
)

Arguments

object	The Decision Tree object
inputs	data to be predicted
type	class raw
confident	Is param to define the type of predict. It can be "max_prob", to get class with sum of probability is the maximum Or "vote" to get the most frequented class in all trees. Default is "max_prob"
allowParallel	Execute Random Forest in parallel if doParallel is loaded.

SSLR documentation built on July 22, 2021, 9:08 a.m.