diff --git a/src/shogun/neuralnets/NeuralLinearLayer.cpp b/src/shogun/neuralnets/NeuralLinearLayer.cpp index b1a3f280d99..ad310a96e08 100644 --- a/src/shogun/neuralnets/NeuralLinearLayer.cpp +++ b/src/shogun/neuralnets/NeuralLinearLayer.cpp @@ -20,13 +20,6 @@ CNeuralLinearLayer::CNeuralLinearLayer() : CNeuralLayer() { } -CNeuralLinearLayer::CNeuralLinearLayer(const CNeuralLinearLayer& orig) -: CNeuralLayer(orig) -{ - -} - - CNeuralLinearLayer::CNeuralLinearLayer(int32_t num_neurons): CNeuralLayer(num_neurons) { diff --git a/src/shogun/neuralnets/NeuralLinearLayer.h b/src/shogun/neuralnets/NeuralLinearLayer.h index 7337313c5a1..e04346cf026 100644 --- a/src/shogun/neuralnets/NeuralLinearLayer.h +++ b/src/shogun/neuralnets/NeuralLinearLayer.h @@ -26,9 +26,6 @@ class CNeuralLinearLayer : public CNeuralLayer /** default constructor */ CNeuralLinearLayer(); - /** copy constructor */ - CNeuralLinearLayer(const CNeuralLinearLayer &orig); - /** Constuctor * * @param num_neurons Number of neurons in this layer diff --git a/src/shogun/neuralnets/NeuralLogisticLayer.cpp b/src/shogun/neuralnets/NeuralLogisticLayer.cpp index 916cc30459e..83b85c98a5c 100644 --- a/src/shogun/neuralnets/NeuralLogisticLayer.cpp +++ b/src/shogun/neuralnets/NeuralLogisticLayer.cpp @@ -16,13 +16,6 @@ CNeuralLogisticLayer::CNeuralLogisticLayer() : CNeuralLinearLayer() { } -CNeuralLogisticLayer::CNeuralLogisticLayer(const CNeuralLogisticLayer& orig) -: CNeuralLinearLayer(orig) -{ - -} - - CNeuralLogisticLayer::CNeuralLogisticLayer(int32_t num_neurons): CNeuralLinearLayer(num_neurons) { diff --git a/src/shogun/neuralnets/NeuralLogisticLayer.h b/src/shogun/neuralnets/NeuralLogisticLayer.h index c795e85520a..d2ee8847bda 100644 --- a/src/shogun/neuralnets/NeuralLogisticLayer.h +++ b/src/shogun/neuralnets/NeuralLogisticLayer.h @@ -25,9 +25,6 @@ class CNeuralLogisticLayer : public CNeuralLinearLayer /** default constructor */ CNeuralLogisticLayer(); - /** copy constructor */ - CNeuralLogisticLayer(const CNeuralLogisticLayer &orig); - /** Constuctor * * @param num_neurons Number of neurons in this layer