summarise_fitness_penalties_by_iteration: Summarize minimum fitness and penalty values by iteration
In Certara.DarwinReporter: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
summarise_fitness_penalties_by_iteration R Documentation
Summarize minimum fitness and penalty values by iteration
Description
Summarise minimum fitness, ofv, and penalty values used in calculation of overall fitness values by pyDarwin search iteration/generation.
Usage
summarise_fitness_penalties_by_iteration(darwin_data, group_penalties = FALSE)
Arguments
darwin_data
Object of class darwin_data.
group_penalties
Logical. Set to TRUE to group penalties.
Value
data.frame of columns "iteration", "fitness", "ofv" and corresponding penalty columns.
Certara.DarwinReporter documentation built on April 4, 2025, 2:22 a.m.
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| summarise_fitness_penalties_by_iteration | R Documentation |
Summarize minimum fitness and penalty values by iteration
Description
Summarise minimum fitness, ofv, and penalty values used in calculation of overall fitness values by pyDarwin search iteration/generation.
Usage
summarise_fitness_penalties_by_iteration(darwin_data, group_penalties = FALSE)
Arguments
darwin_data |
Object of class |
group_penalties |
Logical. Set to |
Value
data.frame of columns "iteration", "fitness", "ofv" and corresponding penalty columns.
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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