ppl_mcboost {mcboost} | R Documentation |
Multi-calibration pipeline
Description
Wraps MCBoost in a Pipeline to be used with mlr3pipelines
.
For now this assumes training on the same dataset that is later used
for multi-calibration.
Usage
ppl_mcboost(learner = lrn("classif.featureless"), param_vals = list())
Arguments
learner |
(mlr3)mlr3::Learner
Initial learner. Internally wrapped into a PipeOpLearnerCV
with resampling.method = "insample" as a default.
All parameters can be adjusted through the resulting Graph's param_set .
Defaults to lrn("classif.featureless") .
Note: An initial predictor can also be supplied via the init_predictor parameter.
|
param_vals |
list
List of parameter values passed on to MCBoost$new .
|
Value
(mlr3pipelines) Graph
Examples
## Not run:
library("mlr3pipelines")
gr = ppl_mcboost()
## End(Not run)
[Package
mcboost version 0.4.3
Index]