nmm_rank_models_iteratively: nmm_rank_models_iteratively
In benmack/oneClass: One-class classification in the absence of test data
View source: R/nmm_rank_models_iteratively.R
Description
Iteratively ranks the models (rows) according to different criteria (columns) with nmm_rank_models, removes the model with the lowest rank-sum. These two steps are repeated until the last model is ranked (at the first place). It is assumed that the input x has been derived from the function nmm_selection_criteria.
Usage
1
Arguments
x
the table returned from nmm_selection_criteria
benmack/oneClass documentation built on Dec. 15, 2020, 7:38 p.m.
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View source: R/nmm_rank_models_iteratively.R
Description
Iteratively ranks the models (rows) according to different criteria (columns) with nmm_rank_models, removes the model with the lowest rank-sum. These two steps are repeated until the last model is ranked (at the first place). It is assumed that the input x has been derived from the function nmm_selection_criteria.
Usage
1 |
Arguments
x |
the table returned from |
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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