A CPO object can be attached to a Learner object to create a
pipeline combining preprocessing and model fitting. When the resulting CPOLearner
is used to create a model using train, the attached CPO will be applied to the
data before the internal model is trained. The resulting model will also contain the required
CPOTrained elements, and apply the necessary CPORetrafo objects to new prediction
data, and the CPOInverter objects to predictions made by the internal model.
The %>>% operator can be used synonymously to attach CPO objects to Learners.
attachCPO(cpo, learner)[CPO]
The cpo.
[Learner]
The learner.
Other operators: CPO, %>>%,
applyCPO, as.list.CPO,
composeCPO, pipeCPO
Other CPO lifecycle related: CPOConstructor,
CPOLearner, CPOTrained,
CPO, NULLCPO,
%>>%, composeCPO,
getCPOClass,
getCPOConstructor,
getCPOTrainedCPO,
identicalCPO, makeCPO
Other CPOLearner related: CPOLearner,
getLearnerBare, getLearnerCPO