早停

MultiLayerConfiguration myNetworkConfiguration = ...;
DataSetIterator myTrainData = ...;
DataSetIterator myTestData = ...;

EarlyStoppingConfiguration esConf = new EarlyStoppingConfiguration.Builder()
		.epochTerminationConditions(new MaxEpochsTerminationCondition(30))
		.iterationTerminationConditions(new MaxTimeIterationTerminationCondition(20, TimeUnit.MINUTES))
		.scoreCalculator(new DataSetLossCalculator(myTestData, true))
        .evaluateEveryNEpochs(1)
		.modelSaver(new LocalFileModelSaver(directory))
		.build();

EarlyStoppingTrainer trainer = new EarlyStoppingTrainer(esConf,myNetworkConfiguration,myTrainData);

//执行早停训练
EarlyStoppingResult result = trainer.fit();

//打印结果
System.out.println("Termination reason: " + result.getTerminationReason());
System.out.println("Termination details: " + result.getTerminationDetails());
System.out.println("Total epochs: " + result.getTotalEpochs());
System.out.println("Best epoch number: " + result.getBestModelEpoch());
System.out.println("Score at best epoch: " + result.getBestModelScore());

//得到最佳模型:
MultiLayerNetwork bestModel = result.getBestModel();