// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/factory/DataSetIteratorFactory.java
// public interface DataSetIteratorFactory {
// 
//     DataSetIterator create(InputSplit inputSplit);
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/InputSplitResource.java
// @Data
// public class InputSplitResource {
// 
//     private InputSplit train;
//     private InputSplit test;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/NetworkConfigurationResource.java
// @Data
// public class NetworkConfigurationResource {
// 
//     @Inject
//     @Named("application.network.outputs")
//     private Integer outputs;
//     @Inject
//     @Named("application.network.epoch")
//     private Integer epoch;
//     @Inject
//     @Named("application.network.batchSize")
//     private Integer batchSize;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/NetworkStatisticsResource.java
// @Data
// public class NetworkStatisticsResource {
// 
//     private Double accuracy;
//     private Double precision;
//     private Double recall;
//     private Double f1;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/service/InputSplitService.java
// public interface InputSplitService {
// 
//     InputSplitResource getInputSplit();
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/service/MachineLearningService.java
// public interface MachineLearningService {
// 
//     void train(MultiLayerNetwork multiLayerNetwork);
// 
//     NetworkStatisticsResource test(MultiLayerNetwork multiLayerNetwork);
// 
// }


import net.scaliby.ceidgcaptcha.machinelearning.factory.DataSetIteratorFactory;
import net.scaliby.ceidgcaptcha.machinelearning.resource.InputSplitResource;
import net.scaliby.ceidgcaptcha.machinelearning.resource.NetworkConfigurationResource;
import net.scaliby.ceidgcaptcha.machinelearning.resource.NetworkStatisticsResource;
import net.scaliby.ceidgcaptcha.machinelearning.service.InputSplitService;
import net.scaliby.ceidgcaptcha.machinelearning.service.MachineLearningService;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import javax.inject.Inject;
package net.scaliby.ceidgcaptcha.machinelearning.service.impl;



public class MachineLearningServiceImpl implements MachineLearningService {

    private final DataSetIteratorFactory dataSetIteratorFactory;
    private final InputSplitService inputSplitService;
    private final NetworkConfigurationResource networkConfigurationResource;

    @Inject
    public MachineLearningServiceImpl(DataSetIteratorFactory dataSetIteratorFactory, InputSplitService inputSplitService, NetworkConfigurationResource networkConfigurationResource) {
        this.dataSetIteratorFactory = dataSetIteratorFactory;
        this.inputSplitService = inputSplitService;
        this.networkConfigurationResource = networkConfigurationResource;
    }

    @Override
    public void train(MultiLayerNetwork multiLayerNetwork) {
        InputSplitResource inputSplitResource = inputSplitService.getInputSplit();
        DataSetIterator dataSetIterator = dataSetIteratorFactory.create(inputSplitResource.getTrain());
        for (int i = 0; i < networkConfigurationResource.getEpoch(); i++) {
            multiLayerNetwork.fit(dataSetIterator);
        }
    }

    public NetworkStatisticsResource test(MultiLayerNetwork multiLayerNetwork) {
        InputSplitResource inputSplitResource = inputSplitService.getInputSplit();
        DataSetIterator dataSetIterator = dataSetIteratorFactory.create(inputSplitResource.getTest());
        Evaluation evaluation = multiLayerNetwork.evaluate(dataSetIterator);
        return toNetworkStatisticsResource(evaluation);
    }

    private NetworkStatisticsResource toNetworkStatisticsResource(Evaluation evaluation) {
        NetworkStatisticsResource resource = new NetworkStatisticsResource();
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/factory/DataSetIteratorFactory.java
// public interface DataSetIteratorFactory {
// 
//     DataSetIterator create(InputSplit inputSplit);
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/InputSplitResource.java
// @Data
// public class InputSplitResource {
// 
//     private InputSplit train;
//     private InputSplit test;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/NetworkConfigurationResource.java
// @Data
// public class NetworkConfigurationResource {
// 
//     @Inject
//     @Named("application.network.outputs")
//     private Integer outputs;
//     @Inject
//     @Named("application.network.epoch")
//     private Integer epoch;
//     @Inject
//     @Named("application.network.batchSize")
//     private Integer batchSize;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/resource/NetworkStatisticsResource.java
// @Data
// public class NetworkStatisticsResource {
// 
//     private Double accuracy;
//     private Double precision;
//     private Double recall;
//     private Double f1;
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/service/InputSplitService.java
// public interface InputSplitService {
// 
//     InputSplitResource getInputSplit();
// 
// }
// 
// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/service/MachineLearningService.java
// public interface MachineLearningService {
// 
//     void train(MultiLayerNetwork multiLayerNetwork);
// 
//     NetworkStatisticsResource test(MultiLayerNetwork multiLayerNetwork);
// 
// }


// Path: ceidg-captcha-machine-learning/src/main/java/net/scaliby/ceidgcaptcha/machinelearning/service/impl/MachineLearningServiceImpl.java
import net.scaliby.ceidgcaptcha.machinelearning.factory.DataSetIteratorFactory;
import net.scaliby.ceidgcaptcha.machinelearning.resource.InputSplitResource;
import net.scaliby.ceidgcaptcha.machinelearning.resource.NetworkConfigurationResource;
import net.scaliby.ceidgcaptcha.machinelearning.resource.NetworkStatisticsResource;
import net.scaliby.ceidgcaptcha.machinelearning.service.InputSplitService;
import net.scaliby.ceidgcaptcha.machinelearning.service.MachineLearningService;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import javax.inject.Inject;

package net.scaliby.ceidgcaptcha.machinelearning.service.impl;



public class MachineLearningServiceImpl implements MachineLearningService {

    private final DataSetIteratorFactory dataSetIteratorFactory;
    private final InputSplitService inputSplitService;
    private final NetworkConfigurationResource networkConfigurationResource;

    @Inject
    public MachineLearningServiceImpl(DataSetIteratorFactory dataSetIteratorFactory, InputSplitService inputSplitService, NetworkConfigurationResource networkConfigurationResource) {
        this.dataSetIteratorFactory = dataSetIteratorFactory;
        this.inputSplitService = inputSplitService;
        this.networkConfigurationResource = networkConfigurationResource;
    }

    @Override
    public void train(MultiLayerNetwork multiLayerNetwork) {
        InputSplitResource inputSplitResource = inputSplitService.getInputSplit();
        DataSetIterator dataSetIterator = dataSetIteratorFactory.create(inputSplitResource.getTrain());
        for (int i = 0; i < networkConfigurationResource.getEpoch(); i++) {
            multiLayerNetwork.fit(dataSetIterator);
        }
    }

    public NetworkStatisticsResource test(MultiLayerNetwork multiLayerNetwork) {
        InputSplitResource inputSplitResource = inputSplitService.getInputSplit();
        DataSetIterator dataSetIterator = dataSetIteratorFactory.create(inputSplitResource.getTest());
        Evaluation evaluation = multiLayerNetwork.evaluate(dataSetIterator);
        return toNetworkStatisticsResource(evaluation);
    }

    private NetworkStatisticsResource toNetworkStatisticsResource(Evaluation evaluation) {
        NetworkStatisticsResource resource = new NetworkStatisticsResource();
        resource.setAccuracy(evaluation.accuracy());