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  • //
    // Created by martin on 14.11.18.
    //
    
    #include "CrossValidator.h"
    #include "../message.h"
    
    namespace lib4neuro {
        LIB4NEURO_API CrossValidator::CrossValidator(ILearningMethods* optimizer, ErrorFunction* ef) {
            this->optimizer = optimizer;
            this->ef = ef;
        }
    
        LIB4NEURO_API void CrossValidator::run_k_fold_test(unsigned int k, unsigned int tests_number) {
    
            NeuralNetwork *net = this->ef->get_network_instance();
    
    
            for(unsigned int i = 0; i < tests_number; i++) {
    
                COUT_DEBUG(<< "Cross-validation run " << i+1 << std::endl);
    
    
                this->ef->divide_data_train_test(1.0/k);
    
                COUT_DEBUG(<< "number of train data points: " << this->ef->get_dataset()->get_n_elements() << std::endl);
    
                net->randomize_parameters();
                net->scale_parameters( 1.0 / (net->get_n_weights() + net->get_n_biases()));
                net->print_weights();
    
                this->optimizer->optimize(*this->ef);
                this->ef->return_full_data_set_for_training();
            }
        }
    
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    Martin Beseda committed
    }