mlr_pipeop_ordinalregr: PipeOpOrdinalRegr
In mlr-org/mlr3ordinal: Ordinal regression for mlr3
mlr_pipeop_ordinalregr R Documentation
PipeOpOrdinalRegr
Description
This PipeOp works for any regression learner.
The idea is to consider the whole task as a Regression Task.
Hence, a numeric response vector is predicted for which crossvalidated rank thresholds are found using (nloptr)nloptr::nloptr to rank the predictions.
Returns a single PredictionOrdinal.
As a default, optimizes MeasureOrdinalCE.
Used for regression Predictions.
Format
R6Class PipeOpOrdinalRegr
R6::R6Class inheriting from mlr3pipelines::PipeOpTaskPreproc.
See Also
Other PipeOps:
mlr_pipeop_ordinalclassif,
mlr_pipeops_updatetarget
Examples
library(mlr3pipelines)
op = po("ordinalregr", 2)
mlr-org/mlr3ordinal documentation built on Jan. 10, 2023, 10:04 a.m.
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| mlr_pipeop_ordinalregr | R Documentation |
PipeOpOrdinalRegr
Description
This PipeOp works for any regression learner.
The idea is to consider the whole task as a Regression Task.
Hence, a numeric response vector is predicted for which crossvalidated rank thresholds are found using (nloptr)nloptr::nloptr to rank the predictions.
Returns a single PredictionOrdinal.
As a default, optimizes MeasureOrdinalCE.
Used for regression Predictions.
Format
R6Class PipeOpOrdinalRegr
R6::R6Class inheriting from mlr3pipelines::PipeOpTaskPreproc.
See Also
Other PipeOps:
mlr_pipeop_ordinalclassif,
mlr_pipeops_updatetarget
Examples
library(mlr3pipelines)
op = po("ordinalregr", 2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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