#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

#15 in #optimal


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

~0.8–1.5MB
~31K SLoC