Man pages for gaselect
Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
| evaluate-methods | Evaluate the fitness of variable subsets |
| fitness | Get the fitness of a variable subset |
| fitnessEvolution | Get the evolution of the fitness |
| formatSegmentation-methods | Format the raw segmentation list returned from the C++ code... |
| GenAlg-class | Result of a genetic algorithm run |
| GenAlg-constructor | Genetic algorithm for variable subset selection |
| GenAlgControl-class | Control class for the genetic algorithm |
| GenAlgControl-constructor | Set control arguments for the genetic algorithm |
| GenAlgEvaluator-class | Evaluator Base Class |
| GenAlgFitEvaluator-class | Fit Evaluator |
| GenAlgFitEvaluator-constructor | Fit Evaluator |
| GenAlgLMEvaluator-class | LM Evaluator |
| GenAlgLMEvaluator-constructor | LM Evaluator |
| GenAlgPLSEvaluator-class | PLS Evaluator |
| GenAlgPLSEvaluator-constructor | PLS Evaluator |
| GenAlgUserEvaluator-class | User Function Evaluator |
| GenAlgUserEvaluator-constructor | User Defined Evaluator |
| getEvalFun-methods | Get the evaluation function from a GenAlgUserEvaluator |
| subsets | Get the found variable subset(s) |
| toCControlList-methods | Transform the object to a list |
| trueFitnessVal-methods | Get the transformed fitness values |
| validData-methods | Check if the data is valid for the evaluator |
