PipeOpSample_B {NADIA} | R Documentation |
PipeOpSample_B
Description
Impute features by sampling from non-missing data in approach B (independently during the training and prediction phase).
Input and Output Channels
Input and output channels are inherited from PipeOpImpute
.
Parameters
The parameters include inherited from ['PipeOpImpute'], as well as:
-
id
::character(1)
Identifier of resulting object, default '"impute_sample_B"'.
Super classes
mlr3pipelines::PipeOp
-> mlr3pipelines::PipeOpImpute
-> Sample_B_imputation
Methods
Public methods
Inherited methods
Method new()
Usage
PipeOpSample_B$new(id = "impute_sample_B", param_vals = list())
Method clone()
The objects of this class are cloneable with this method.
Usage
PipeOpSample_B$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
Examples
{
graph <- PipeOpSample_B$new() %>>% mlr3learners::LearnerClassifGlmnet$new()
graph_learner <- GraphLearner$new(graph)
# Task with NA
set.seed(1)
resample(tsk("pima"), graph_learner, rsmp("cv", folds = 3))
}
[Package NADIA version 0.4.2 Index]