GEP::Core::Float::FitnessFunctions::MeanAbsolutePercentageError Class Reference
Evaluates the mean absolute precentage error between FitnessFunction._expectedOutput and Genotype's output. More...
Inheritance diagram for GEP::Core::Float::FitnessFunctions::MeanAbsolutePercentageError:
Collaboration diagram for GEP::Core::Float::FitnessFunctions::MeanAbsolutePercentageError:
Public Member Functions | |
| MeanAbsolutePercentageError (int teachingVariableCasesStartIndex, int teachingVariableCasesEndIndex, int testVariableCasesStartIndex, int testVariableCasesEndIndex, float[][] expectedOutput, int maxN_CasesOfNaNorInfinityToIgnore) | |
| override void | SetFitness (Common.Genotype genotype, bool isTest) |
| abstract void | SetFitness (Genotype genotype, bool isTest) |
| Sets the fitness of the given genotype. | |
Public Attributes | |
| float[][] | _expectedOutput |
| The output expected for each variable case. | |
| int | _teachingVariableCasesStartIndex |
| Indicates from what index teaching / learning cases start. | |
| int | _teachingVariableCasesEndIndex |
| Indicates the last index of teaching / learning cases. | |
| int | _testVariableCasesStartIndex |
| Indicates from what index testing cases start. | |
| int | _testVariableCasesEndIndex |
| Indicates the last index of testing cases. | |
| int | _maxN_CasesOfNaNorInfinityToIgnore |
| Specifies how many times a fitness function, with different variable cases, can be an invalid number, but still the genotype be considered fit. | |
Protected Attributes | |
| float[] | _expectedOutputVectorSize |
| The expected output vector length in all variable cases. | |
Detailed Description
Evaluates the mean absolute precentage error between FitnessFunction._expectedOutput and Genotype's output.
Definition at line 13 of file MeanAbsolutePercentageError.cs.
The documentation for this class was generated from the following file:
- E:/Projects/Visual Studio/CSharp/GEP .NET Framework/GEP.Core/Float/FitnessFunctions/MeanAbsolutePercentageError.cs