PipeOpMean_B | R Documentation |
Impute numerical features by their mean in approach B (independently during the training and prediction phase).
Input and output channels are inherited from PipeOpImpute
.
The parameters include inherited from ['PipeOpImpute'], as well as:
id
:: character(1)
Identifier of resulting object, default "imput_mean_B"
.
mlr3pipelines::PipeOp
-> mlr3pipelines::PipeOpImpute
-> Mean_B_imputation
new()
PipeOpMean_B$new(id = "impute_mean_B", param_vals = list())
clone()
The objects of this class are cloneable with this method.
PipeOpMean_B$clone(deep = FALSE)
deep
Whether to make a deep clone.
# Using debug learner for example purpose graph <- PipeOpMean_B$new() %>>% LearnerClassifDebug$new() graph_learner <- GraphLearner$new(graph) set.seed(1) resample(tsk("pima"), graph_learner, rsmp("cv", folds = 3))
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