copulaPredict {MLCOPULA}

Get predictions from a classification model.

Description

Use the models trained with copula functions to generate new predictions.

Usage

copulaPredict(X, model)

Arguments

X

Data frame with predictor variables.

model

Classification model.

Value

A list with the prediction of the class "class" and the probabilities of each class "prob".

Examples

X <- iris[,1:4]
y <- iris$Species
model <- copulaClassifier(X = X, y = y, copula = "frank",
                      distribution = "kernel", graph_model = "tree")
y_pred <- copulaPredict(X = X, model = model)
table(y,y_pred$class)
#Example 2
X <- iris[,1:4]
y <- iris$Species
model <- copulaClassifier(X = X, y = y, copula = c("frank","clayton"), 
                        distribution = "kernel", graph_model = "chain")
y_pred <- copulaPredict(X = X, model = model)
table(y,y_pred$class)