mlr_measures_internal_valid_score {mlr3} | R Documentation |
Measure Internal Validation Score
Description
Returns the selected internal validation score of the Learner for learners with property "validation"
.
Returns NA
for unsupported learners, when no validation was done, or when the selected id was not found.
The id
of this measure is set to the value of select
if provided.
Dictionary
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr()
:
mlr_measures$get("internal_valid_score") msr("internal_valid_score")
Meta Information
Task type: “NA”
Range:
(-\infty, \infty)
Minimize: NA
Average: macro
Required Prediction: “NA”
Required Packages: mlr3
Parameters
Empty ParamSet
Super class
mlr3::Measure
-> MeasureInternalValidScore
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
MeasureInternalValidScore$new(select = NULL, minimize = NA)
Arguments
select
(
character(1)
)
Which of the internal validation scores to select. Which scores are available depends on the learner and its configuration. By default, the first score is chosen.minimize
(
logical(1)
)
Whether smaller values are better. Must be set to use for tuning.
Method clone()
The objects of this class are cloneable with this method.
Usage
MeasureInternalValidScore$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html#sec-eval
Package mlr3measures for the scoring functions. Dictionary of Measures: mlr_measures
as.data.table(mlr_measures)
for a table of available Measures in the running session (depending on the loaded packages).Extension packages for additional task types:
-
mlr3proba for probabilistic supervised regression and survival analysis.
-
mlr3cluster for unsupervised clustering.
-
Other Measure:
Measure
,
MeasureClassif
,
MeasureRegr
,
MeasureSimilarity
,
mlr_measures
,
mlr_measures_aic
,
mlr_measures_bic
,
mlr_measures_classif.costs
,
mlr_measures_debug_classif
,
mlr_measures_elapsed_time
,
mlr_measures_oob_error
,
mlr_measures_regr.pinball
,
mlr_measures_regr.rsq
,
mlr_measures_selected_features
Examples
rr = resample(tsk("iris"), lrn("classif.debug", validate = 0.3), rsmp("holdout"))
rr$score(msr("internal_valid_score", select = "acc"))