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Fast Aggregation of ResampleResults and BenchmarkResults

Source: R/faggregate.R
faggregate.Rd

Aggregates a mlr3::ResampleResult or mlr3::BenchmarkResult for a single simple measure. Returns the aggregated score for each resample result.

Usage

faggregate(obj, measure, conditions = FALSE)

Arguments

obj

(mlr3::ResampleResult | mlr3::BenchmarkResult).

measure

(mlr3::Measure).

conditions

(logical(1))
If TRUE, the function returns the number of warnings and the number of errors.

Value

(data.table::data.table())

Details

This function is faster than $aggregate() because it does not reassemble the resampling results. It only works on simple measures which do not require the task, learner, model or train set to be available.