setPredictType: Set the type of predictions the learner should return.

In riebetob/mlr: Machine Learning in R

Description

Possible prediction types are: Classification: Labels or class probabilities (including labels). Regression: Numeric or response or standard errors (including numeric response). Survival: Linear predictor or survival probability.

For complex wrappers the predict type is usually also passed down the encapsulated learner in a recursive fashion.

Usage

setPredictType(learner, predict.type)

Arguments

learner	[Learner | character(1)] The learner. If you pass a string the learner will be created via makeLearner.
predict.type	[character(1)] Classification: “response” or “prob”. Regression: “response” or “se”. Survival: “response” (linear predictor) or “prob”. Clustering: “response” or “prob”. Default is “response”.

Value

[Learner].

See Also

Other predict: asROCRPrediction, getPredictionProbabilities, getPredictionResponse, getPredictionTaskDesc, plotViperCharts, predict.WrappedModel, setPredictThreshold

Other learner: LearnerProperties, getClassWeightParam, getHyperPars, getLearnerId, getLearnerPackages, getLearnerParVals, getLearnerParamSet, getLearnerPredictType, getLearnerShortName, getLearnerType, getParamSet, helpLearnerParam, helpLearner, makeLearners, makeLearner, removeHyperPars, setHyperPars, setId, setLearnerId, setPredictThreshold

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.