1 unstable release
0.0.0 | Sep 27, 2023 |
---|
#15 in #optimal
Used in optimal
68KB
1.5K
SLoC
This package is experimental. Expect frequent updates to the repository with breaking changes and infrequent releases.
optimal-pbil
Population-based incremental learning (PBIL).
Examples
use optimal_pbil::*;
println!(
"{:?}",
UntilProbabilitiesConvergedConfig::default()
.start(Config::start_default_for(16, |point| point.iter().filter(|x| **x).count()))
.argmin()
);
License: MIT
lib.rs
:
Population-based incremental learning (PBIL).
Examples
use optimal_pbil::*;
println!(
"{:?}",
UntilProbabilitiesConvergedConfig::default()
.start(Config::start_default_for(16, |point| point.iter().filter(|x| **x).count()))
.argmin()
);
Dependencies
~0.8–1.5MB
~31K SLoC