setAggregation: Set aggregation function of measure.
In riebetob/mlr: Machine Learning in R
Description
Usage
Arguments
Value
See Also
View source: R/Measure_operators.R
Description
Set how this measure will be aggregated after resampling.
To see possible aggregation functions: aggregations.
Usage
1
setAggregation(measure, aggr)
Arguments
measure
[Measure]
Performance measure.
aggr
[Aggregation]
Aggregation function.
Value
[Measure] with changed aggregation behaviour.
See Also
Other performance: ConfusionMatrix,
calculateConfusionMatrix,
calculateROCMeasures,
estimateRelativeOverfitting,
makeCostMeasure,
makeCustomResampledMeasure,
makeMeasure, measures,
performance, setMeasurePars
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
Set how this measure will be aggregated after resampling.
To see possible aggregation functions: aggregations.
Usage
1 | setAggregation(measure, aggr)
|
Arguments
measure |
[ |
aggr |
[ |
Value
[Measure] with changed aggregation behaviour.
See Also
Other performance: ConfusionMatrix,
calculateConfusionMatrix,
calculateROCMeasures,
estimateRelativeOverfitting,
makeCostMeasure,
makeCustomResampledMeasure,
makeMeasure, measures,
performance, setMeasurePars
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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