mlr (version 1.1-18)

train: Train a learning algorithm.

Description

Given a SupervisedTask, creates a model for the learning machine which can be used for predictions on new data.

Usage

train(learner, task, subset, weights)

Value

[WrappedModel].

See Also

predict

Examples

training.set <- sample(1:nrow(iris), nrow(iris) / 2)

## use linear discriminant analysis to classify iris data
task <- makeClassifTask(data = iris, target = "Species")
learner <- makeLearner("classif.lda", method = "mle")
mod <- train(learner, task, subset = training.set)
print(mod)

## use random forest to classify iris data
task <- makeClassifTask(data = iris, target = "Species")
learner <- makeLearner("classif.rpart", minsplit = 7, predict.type = "prob")
mod <- train(learner, task, subset = training.set)
print(mod)