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

In sboost: Machine Learning with AdaBoost on Decision Stumps

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 class '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

# 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])

sboost documentation built on May 28, 2022, 1:12 a.m.