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.
|Date of publication||2016-06-30 12:14:14|
|Maintainer||Markus Vattulainen <email@example.com>|
examplegrid: preprocessing combinations example
examplehyperparam: hyperparameter optimization example
examplesearch: metaheuristic optimization example
getbestheur: get the best preprocessing combination
getlogs: get the logs of a metaheur search
getwalltime: get the execution wall-clock time
metaheur: metaheuristic optimization of preprocessing combinations
metaheur-class: An S4 class to represent metaheuristic optimization results
metaheurhyper: search for best hyperparameters for metaheuristic...
metaheurhyper-class: An S4 class to represent hyperparameter optimization results
plotsearchpath: plot search path