setMeasurePars: Set parameters of performance measures
In riebetob/mlr: Machine Learning in R
Description
Usage
Arguments
Value
See Also
View source: R/Measure_operators.R
Description
Sets hyperparameters of measures.
Usage
1
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
riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.
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Description Usage Arguments Value See Also
View source: R/Measure_operators.R
Description
Sets hyperparameters of measures.
Usage
1 | setMeasurePars(measure, ..., par.vals = list())
|
Arguments
measure |
[ |
... |
[any] |
par.vals |
[ |
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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