mlr (version 2.19.1)

getPredictionProbabilities: Get probabilities for some classes.

Description

Get probabilities for some classes.

Usage

getPredictionProbabilities(pred, cl)

Value

(data.frame) with numerical columns or a numerical vector if length of cl is 1. Order of columns is defined by cl.

Arguments

pred

(Prediction)
Prediction object.

cl

(character)
Names of classes. Default is either all classes for multi-class / multilabel problems or the positive class for binary classification.

See Also

Other predict: asROCRPrediction(), getPredictionResponse(), getPredictionTaskDesc(), predict.WrappedModel(), setPredictThreshold(), setPredictType()

Examples

task = makeClassifTask(data = iris, target = "Species")
lrn = makeLearner("classif.lda", predict.type = "prob")
mod = train(lrn, task)
# predict probabilities
pred = predict(mod, newdata = iris)

# Get probabilities for all classes
head(getPredictionProbabilities(pred))

# Get probabilities for a subset of classes
head(getPredictionProbabilities(pred, c("setosa", "virginica")))