Predictions of the SSLRDecisionTree_fitted method

Predicts the label of instances according to the RandomForestSemisupervised_fitted model.

# S3 method for RandomForestSemisupervised_fitted
predict(object, x, type = "class", confident = "max_prob", ...)

Arguments

object	RandomForestSemisupervised_fitted.
x	A object that can be coerced as matrix. Depending on how was the model built, x is interpreted as a matrix with the distances between the unseen instances and the selected training instances, or a matrix of instances.
type	of predict in principal model
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"
...	This parameter is included for compatibility reasons.

Value

Vector with the labels assigned.