Including multiple PyTorch models in compare()

[mastoffel]

In the MODEL_REGISTRY under autoemulate.emulators.__init__py, we are adding models like this:

MODEL_REGISTRY = {
 "GaussianProcessSk": GaussianProcessSk(),
 "SupportVectorMachines": SupportVectorMachines(),
"NeuralNetTorch": NeuralNetTorch(module="mlp")
}

A second neural network would be added like this:

MODEL_REGISTRY = {
 "GaussianProcessSk": GaussianProcessSk(),
 "SupportVectorMachines": SupportVectorMachines(),
"NeuralNetTorch": NeuralNetTorch(module="mlp")
"NeuralNetTorch": NeuralNetTorch(module="rbf")
}

Which currently fails. The reason is that there are a range of checks which use get_model_name(), a function that accesses the class name. So that function needs to be changed and different PyTorch networks renamed in the MODEL_REGISTRY. This means that a few methods/functions will likely need an additional input which is a dict mapping model names. See also #175

[bryanlimy]

This is solved in #196 ?