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 | [ |
---|---|
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()