| Parameter | Description
|
|---|
| BestKnownQuality | The minimal error value that reached by symbolic regression solutions for the problem.
|
| DataAnalysisProblemData | The data set, target variable and input variables of the data analysis problem.
|
| Evaluator | SymbolicRegressionScaledMeanSquaredErrorEvaluator: The operator which should be used to evaluate symbolic regression solutions.
|
| FunctionTreeGrammar | The grammar that should be used for symbolic regression models.
|
| LowerEstimationLimit | The lower limit for the estimated value that can be returned by the symbolic regression model.
|
| MaxExpressionDepth | Maximal depth of the symbolic expression.
|
| MaxExpressionLength | Maximal length of the symbolic expression.
|
| MaxFunctionArguments | Maximal number of arguments of automatically defined functions.
|
| MaxFunctionDefiningBranches | Maximal number of automatically defined functions.
|
| Maximization | Set to false as the error of the regression model should be minimized.
|
| SolutionCreator | ProbabilisticTreeCreator: The operator which should be used to create new symbolic regression solutions.
|
| SymbolicExpressionTreeInterpreter | The interpreter that should be used to evaluate the symbolic expression tree.
|
| UpperEstimationLimit | The upper limit for the estimated value that can be returned by the symbolic regression model.
|
