ePredTree: Predict Responses Using an Explainable Ensemble Tree

In e2tree: Explainable Ensemble Trees

Predict Responses Using an Explainable Ensemble Tree

Description

Predicts classification and regression tree responses.

Usage

ePredTree(fit, data, target = "1")

Arguments

fit	An e2tree object.
data	A data frame with new observations.
target	Target class for classification scoring.

Details

Deprecated: Use predict.e2tree instead.

Value

A data frame with predictions.

Examples

## Classification:
data(iris)

# Create training and validation set:
smp_size <- floor(0.75 * nrow(iris))
train_ind <- sample(seq_len(nrow(iris)), size = smp_size)
training <- iris[train_ind, ]
validation <- iris[-train_ind, ]
response_training <- training[,5]
response_validation <- validation[,5]

# Perform training:
ensemble <- randomForest::randomForest(Species ~ ., data=training,
importance=TRUE, proximity=TRUE)

D <- createDisMatrix(ensemble, data=training, label = "Species",
                             parallel = list(active=FALSE, no_cores = 1))

setting=list(impTotal=0.1, maxDec=0.01, n=2, level=5)
tree <- e2tree(Species ~ ., training, D, ensemble, setting)

## Preferred method:
predict(tree, newdata = validation, target = "1")

## Legacy function (deprecated):
ePredTree(tree, validation, target = "1")


## Regression
data("mtcars")

# Create training and validation set:
smp_size <- floor(0.75 * nrow(mtcars))
train_ind <- sample(seq_len(nrow(mtcars)), size = smp_size)
training <- mtcars[train_ind, ]
validation <- mtcars[-train_ind, ]
response_training <- training[,1]
response_validation <- validation[,1]

# Perform training
ensemble = randomForest::randomForest(mpg ~ ., data=training, ntree=1000,
importance=TRUE, proximity=TRUE)

D = createDisMatrix(ensemble, data=training, label = "mpg",
                              parallel = list(active=FALSE, no_cores = 1))

setting=list(impTotal=0.1, maxDec=(1*10^-6), n=2, level=5)
tree <- e2tree(mpg ~ ., training, D, ensemble, setting)

## Preferred method:
predict(tree, newdata = validation)

## Legacy function (deprecated):
ePredTree(tree, validation)

e2tree documentation built on May 15, 2026, 5:06 p.m.