sboost (version 0.1.2)

predict.sboost_classifier: Make predictions for a feature set based on an sboost classifier.

Description

Make predictions for a feature set based on an sboost classifier.

Usage

# S3 method for sboost_classifier
predict(object, features, scores = FALSE, ...)

Arguments

object

sboost_classifier S3 object output from sboost.

features

feature set data.frame.

scores

if true, raw scores generated; if false, predictions are generated.

...

further arguments passed to or from other methods.

Value

Predictions in the form of a vector, or scores in the form of a vector. The index of the vector aligns the predictions or scores with the rows of the features. Scores represent the sum of all votes for the positive outcome minus the sum of all votes for the negative outcome.

See Also

sboost documentation.

Examples

# NOT RUN {
# malware
malware_classifier <- sboost(malware[-1], malware[1], iterations = 5, positive = 1)
predict(malware_classifier, malware[-1], scores = TRUE)
predict(malware_classifier, malware[-1])

# mushrooms
mushroom_classifier <- sboost(mushrooms[-1], mushrooms[1], iterations = 5, positive = "p")
predict(mushroom_classifier, mushrooms[-1], scores = TRUE)
predict(mushroom_classifier, mushrooms[-1])
# }