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