prep_best_estimators: Prepare table with the best (hyper)parameter tunings for each...
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View source: R/utils_helpers.R
prep_best_estimators R Documentation
Prepare table with the best (hyper)parameter tunings for each learner
Description
For internal use only! Get the best-scoring (hyper)parameters for each
learner based on Class Balance Accuracy.
Usage
prep_best_estimators(x)
Arguments
x
A "tuning_results" data frame. See
prep_all_pipeline_tuning_results.
Value
A data frame.
Note
See prep_all_pipeline_tuning_results.
CDU-data-science-team/positiveAboutChangeTextClassificationDashboard documentation built on Sept. 24, 2023, 10:14 p.m.
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View source: R/utils_helpers.R
| prep_best_estimators | R Documentation |
Prepare table with the best (hyper)parameter tunings for each learner
Description
For internal use only! Get the best-scoring (hyper)parameters for each learner based on Class Balance Accuracy.
Usage
prep_best_estimators(x)
Arguments
x |
A "tuning_results" data frame. See
|
Value
A data frame.
Note
See prep_all_pipeline_tuning_results.
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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