setMeasurePars: Set parameters of performance measures
In berndbischl/mlr: Machine Learning in R
View source: R/Measure_operators.R
setMeasurePars R Documentation
Set parameters of performance measures
Description
Sets hyperparameters of measures.
Usage
setMeasurePars(measure, ..., par.vals = list())
Arguments
measure
(Measure)
Performance measure.
...
(any)
Named (hyper)parameters with new settings. Alternatively these can be passed
using the par.vals argument.
par.vals
(list)
Optional list of named (hyper)parameter settings. The arguments in
... take precedence over values in this list.
Value
Measure.
See Also
Other performance:
ConfusionMatrix,
calculateConfusionMatrix(),
calculateROCMeasures(),
estimateRelativeOverfitting(),
makeCostMeasure(),
makeCustomResampledMeasure(),
makeMeasure(),
measures,
performance(),
setAggregation()
berndbischl/mlr documentation built on Aug. 15, 2024, 4:20 p.m.
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View source: R/Measure_operators.R
| setMeasurePars | R Documentation |
Set parameters of performance measures
Description
Sets hyperparameters of measures.
Usage
setMeasurePars(measure, ..., par.vals = list())
Arguments
measure |
(Measure) |
... |
(any) |
par.vals |
(list) |
Value
Measure.
See Also
Other performance:
ConfusionMatrix,
calculateConfusionMatrix(),
calculateROCMeasures(),
estimateRelativeOverfitting(),
makeCostMeasure(),
makeCustomResampledMeasure(),
makeMeasure(),
measures,
performance(),
setAggregation()
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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