create_best_benchmark: Function that given a benchmark result, measure, task_type,...
In el-mrt/auto-statistics: Approach for an autoML implementation
View source: R/create_best_benchmark.R
create_best_benchmark R Documentation
Function that given a benchmark result, measure, task_type, task number of learners and resampling strategy outputs a new benchmark, containing the best learners
Description
Function that given a benchmark result, measure, task_type, task number of learners and resampling strategy outputs a new benchmark, containing the best learners
Usage
create_best_benchmark(task, bmr, measure, n_best, resampling = NULL)
Arguments
task
task
bmr
benchmark results
measure
measure
n_best
number of choosen learners
resampling
resampling strategy - needs to be mlr3 object for now
Value
returns a benchmarking result
el-mrt/auto-statistics documentation built on March 19, 2022, 1:57 p.m.
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View source: R/create_best_benchmark.R
| create_best_benchmark | R Documentation |
Function that given a benchmark result, measure, task_type, task number of learners and resampling strategy outputs a new benchmark, containing the best learners
Description
Function that given a benchmark result, measure, task_type, task number of learners and resampling strategy outputs a new benchmark, containing the best learners
Usage
create_best_benchmark(task, bmr, measure, n_best, resampling = NULL)
Arguments
task |
task |
bmr |
benchmark results |
measure |
measure |
n_best |
number of choosen learners |
resampling |
resampling strategy - needs to be mlr3 object for now |
Value
returns a benchmarking result
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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