Searching configurations in abstract spaces using stochastic search methods
Author sadit
1 Star
Updated Last
1 Year Ago
Started In
February 2021


Dev Build Status Coverage

Provides a generic tool for minimizing model errors using stochastic search, which is often used whenever the problem has no concept of derivative. This kind of problems rely on large exploration of combinatorial spaces based on error function.

SearchModels rely on basic exploration functions that can be specified for many applications.

Due to its generic specification, other kind of optimization problems can be also solved, however, it could be easier and better to use other approaches, like Optim.jl.


] add SearchModels