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mlr (version 2.3)

predictLearner: Predict new data with an R learner.

Description

Mainly for internal use. Predict new data with a fitted model. You have to implement this method if you want to add another learner to this package.

Usage

predictLearner(.learner, .model, .newdata, ...)

Arguments

Value

For classification: Either a factor for type response or a matrix for type prob. In the latter case the columns must be named with the class labels. For regressions: Either a numeric for type response or a matrix with two columns for type se. In the latter case first column is the estimated response (mean value) and the second column the estimated standard errors.

Details

You implementation must adhere to the following: The model must be fitted on the subset of .task given by .subset. All parameters in ... must be passed to the underlying training function.