/**
 * @file MlpFactory.hpp
 *
 * Creation of initial MLPs based on a simple definition string format.
 */

#ifndef MLPFACTORY_HPP_
#define MLPFACTORY_HPP_
#include "Mlp.hpp"

#include <string>
#include <iostream>
#include <random>

namespace jymlp{
    class MlpFactory{
    protected:
        vector<size_t> ininneur;
        vector<ActF> iniactf;
    public:
        MlpFactory() = delete;
        /** Construct using a definition text stream.
         *
         * Format is according to the following example:
         *
         *     init_size:    2-4-5-2
         *     init_actf:    in-tanh-tanh-lin
         *     init_weights: uniform(-1,1)
         *
         * One definition on each line. Obvious modifications are
         * possible.  Default is tanh on hidden layer and linear
         * activation on output layer.  Default initialization is
         * uniform(-1,1). Number of neurons must always be given.
         *
         */
        MlpFactory(istream & definition);
        /** Return a raw ptr to a new Mlp object; use the given rnd generator. */
        Mlp *create(mt19937 *prgen);
    };
}

#endif