#optimization #optimal #learning #incremental #machine #pbil #population-based

optimal-pbil

Implementation of population-based incremental learning (PBIL)

1 unstable release

0.0.0 Sep 27, 2023

#14 in #optimal

24 downloads per month
Used in optimal

MIT license

68KB
1.5K SLoC

Workflow Status

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

~2MB
~48K SLoC