aggregate_resample_run_results: A result metric (RM) method to aggregate results over...
In emeyers/NDTr: The Neural Decoding Toolbox in R
Description
Usage
Arguments
Value
See Also
View source: R/generic_functions.R
Description
This is a generic function that must be implemented by all RM objects. This
function is called by the cross-validator to aggregate results across all
resample runs. This method should not be called directly but instead it is
used internally by the cross-validator (CV) object.
Usage
1
aggregate_resample_run_results(resample_run_results)
Arguments
resample_run_results
The decoding results from all resample runs.
Value
A result metric object that contains the decoding results aggregated
across resample runs. This compressed final results can be plotted (often
by using the RM plot methods).
See Also
rm_main_results(), rm_confusion_matrix()
emeyers/NDTr documentation built on Aug. 8, 2020, 3:41 p.m.
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Description Usage Arguments Value See Also
View source: R/generic_functions.R
Description
This is a generic function that must be implemented by all RM objects. This function is called by the cross-validator to aggregate results across all resample runs. This method should not be called directly but instead it is used internally by the cross-validator (CV) object.
Usage
1 | aggregate_resample_run_results(resample_run_results)
|
Arguments
resample_run_results |
The decoding results from all resample runs. |
Value
A result metric object that contains the decoding results aggregated across resample runs. This compressed final results can be plotted (often by using the RM plot methods).
See Also
rm_main_results(), rm_confusion_matrix()
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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