| BaseMetric |
class BaseMetric : Metric
A base implementation for measuring the fitness of solutions. |
| Case |
data class Case
A case in a data set. |
| CaseLoader |
interface CaseLoader
A component that can load a set of cases from some source. |
| CsvCaseLoader |
class CsvCaseLoader : CaseLoader
A CaseLoader that loads cases from a CSV file. |
| CsvCaseLoaderOptions |
data class CsvCaseLoaderOptions
Options to configure a CsvCaseLoader instance. |
| Feature |
data class Feature
A feature of some case in a data set. |
| FitnessFunctions |
object FitnessFunctions
A collection of standard fitness functions as metrics. |
| Metric |
interface Metric
Provides a way of measuring the fitness of a set of outputs. |
| ParsimonyAwareMetric |
class ParsimonyAwareMetric : Metric
Provides a way of measuring the fitness of a set of outputs with a penalty for parsimony pressure. |
| Cases |
typealias Cases = List<Case>
A set of cases that a program will be trained on. |
| FitnessFunction |
typealias FitnessFunction = (Cases, Outputs) -> Double
A function that will evaluate the performance a program based on how close its outputs were to the cases given. |
| Outputs |
typealias Outputs = List<Double>
A set of outputs given by a program on a set of training cases. |