NeuralNetwork n2 = (NeuralNetwork) net2.getAssociationModelsAndBaselineModelsAndClusteringModels().get( 0 ); assertEquals( n1.getExtensionsAndNeuralLayersAndNeuralInputs().size(), n2.getExtensionsAndNeuralLayersAndNeuralInputs().size() ); assertEquals( 6, n2.getExtensionsAndNeuralLayersAndNeuralInputs().size() ); NeuralLayer l1 = (NeuralLayer) n1.getExtensionsAndNeuralLayersAndNeuralInputs().get( 3 ); NeuralLayer l2 = (NeuralLayer) n2.getExtensionsAndNeuralLayersAndNeuralInputs().get( 3 );
NeuralNetwork n2 = (NeuralNetwork) net2.getAssociationModelsAndBaselineModelsAndClusteringModels().get( 0 ); assertEquals( n1.getExtensionsAndNeuralLayersAndNeuralInputs().size(), n2.getExtensionsAndNeuralLayersAndNeuralInputs().size() ); assertEquals( 6, n2.getExtensionsAndNeuralLayersAndNeuralInputs().size() ); NeuralLayer l1 = (NeuralLayer) n1.getExtensionsAndNeuralLayersAndNeuralInputs().get( 3 ); NeuralLayer l2 = (NeuralLayer) n2.getExtensionsAndNeuralLayersAndNeuralInputs().get( 3 );
nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( miningSchema ); nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( outputs ); nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( nins ); nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( hidden ); nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( outer ); nnet.getExtensionsAndNeuralLayersAndNeuralInputs().add( finalOuts );