examplesearch


An example of metaheuristic search with examplegrid. 
50 iterations and 10 times repeated holdout validation.


datasets

Automation of preprocessing often requires computationally costly
preprocessing combinations. This package helps to find near-best combinations
faster. Metaheuristics supported are taboo search, simulated annealing, reheating
and late acceptance. Start conditions include random and grid starts. End conditions
include all iteration rounds completed, objective threshold reached and convergence.
Metaheuristics, start and end conditions can be hybridized and hyperparameters optimized.
Parallel computations are supported. The package is intended to be used with package
'preprocomb' and takes its 'GridClass' object as input.

Markus Vattulainen

examplesearch: metaheuristic optimization example

Description

Usage

Arguments

Format

Details