NeuronConstant.h

/**
 * DESCRIPTION OF THE FILE
 *
 * @author Michal Kravčenko
 * @date 8.8.18 -
 */

#ifndef INC_4NEURO_NEURONCONSTANT_H
#define INC_4NEURO_NEURONCONSTANT_H

#include "Neuron.h"

namespace lib4neuro {

    class NeuronConstant : public NeuronDifferentiable {
    private:
        double p = 0.0;

    public:

        /**
         * Struct used to access private properties from
         * the serialization function
         */
        struct access;

        /**
         * Constructs the object of the Linear neuron with activation function
         * f(x) = c
         * @param[in] c Constant value
         */
        LIB4NEURO_API explicit NeuronConstant(double c = 0.0);

        /**
         * Evaluates and returns 'c'
         */
        LIB4NEURO_API double activate(double x, double b) override;

        /**
         * Calculates the partial derivative of the activation function
         * f(x) = c at point x
         * @return Partial derivative of the activation function according to the
         * 'bias' parameter. Returns 0.0
         */
        LIB4NEURO_API double activation_function_eval_derivative_bias(double x, double b) override;

        /**
         * Calculates d/dx of (c) at point x
         * @return 0.0
         */
        LIB4NEURO_API double activation_function_eval_derivative(double x, double b) override;

        /**
         * Returns a pointer to a Neuron with derivative as its activation function
         * @return
         */
        LIB4NEURO_API Neuron *get_derivative() override;
    };

}

#endif //INC_4NEURO_NEURONCONSTANT_H