◆ ScalingFunctionMinMax() [1/2]
NumA::ScalingFunctionMinMax::ScalingFunctionMinMax |
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◆ ~ScalingFunctionMinMax()
NumA::ScalingFunctionMinMax::~ScalingFunctionMinMax |
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◆ ScalingFunctionMinMax() [2/2]
◆ clone()
◆ evaluate()
double NumA::ScalingFunctionMinMax::evaluate |
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ScalingModeType::Type |
mode, |
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double |
input, |
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const std::pair< double, double > & |
parameters |
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◆ evaluateFirstDerivative()
double NumA::ScalingFunctionMinMax::evaluateFirstDerivative |
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ScalingModeType::Type |
mode, |
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double |
input, |
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const std::pair< double, double > & |
parameters |
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◆ evaluateParameters()
std::pair< double, double > NumA::ScalingFunctionMinMax::evaluateParameters |
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const std::vector< double > & |
input | ) |
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virtual |
◆ classId
const unsigned int NumA::ScalingFunctionMinMax::classId |
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static |
Initial value:=
unsigned int registerScalingFunction(const ScalingFunctionType::Type type, ScalingFunction *const object)
Definition: NeuralNetworkTypeRegistry.cpp:126
static NeuralNetworkTypeRegistry * getInstance()
Definition: NeuralNetworkTypeRegistry.cpp:79
ScalingFunctionMinMax()
Definition: ScalingFunctionMinMax.cpp:23
@ MinMax
Definition: ScalingFunctionType.h:20
The documentation for this class was generated from the following files: