import { LinearPerceptronParameter } from "./LinearPerceptronParameter";
import { ActivationFunction } from "./ActivationFunction";
export declare class DeepNetworkParameter extends LinearPerceptronParameter {
    private readonly hiddenLayers;
    private readonly activationFunction;
    /**
     * Parameters of the deep network classifier.
     *
     * @param seed                 Seed is used for random number generation.
     * @param learningRate         Double value for learning rate of the algorithm.
     * @param etaDecrease          Double value for decrease in eta of the algorithm.
     * @param crossValidationRatio Double value for cross validation ratio of the algorithm.
     * @param epoch                Integer value for epoch number of the algorithm.
     * @param hiddenLayers         An integer {@link Array} for hidden layers of the algorithm.
     * @param activationFunction   Activation function
     */
    constructor(seed: number, learningRate: number, etaDecrease: number, crossValidationRatio: number, epoch: number, hiddenLayers: Array<number>, activationFunction: ActivationFunction);
    /**
     * The layerSize method returns the size of the hiddenLayers {@link Array}.
     *
     * @return The size of the hiddenLayers {@link Array}.
     */
    layerSize(): number;
    /**
     * The getHiddenNodes method takes a layer index as an input and returns the element at the given index of hiddenLayers
     * {@link Array}.
     *
     * @param layerIndex Index of the layer.
     * @return The element at the layerIndex of hiddenLayers {@link Array}.
     */
    getHiddenNodes(layerIndex: number): number;
    /**
     * Accessor for the activation function.
     *
     * @return The activation function.
     */
    getActivationFunction(): ActivationFunction;
}