Function to predict inputs in Decision Tree
Function to predict inputs in Decision Tree
## S4 method for signature 'RandomForestSemisupervised' predict( object, inputs, type = "class", confident = "max_prob", allowParallel = TRUE )
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. |
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