How can I pass multiple embeddings in my function?

Question

I have a problem with my code. I would like to try multiple embeddings in my kernel (I'm using the adjoint method). My idea is to pass them to the function and use them depending on what I pass. Unfortunately, it doesn't work as I think, or I can't program it. Help would be nice :)

Code:

from pennylane.templates import SqueezingEmbedding,QAOAEmbedding,IQPEmbedding,DisplacementEmbedding,AngleEmbedding, StronglyEntanglingLayers,BasisEmbedding,AmplitudeEmbedding,DisplacementEmbedding
def kernel_matrix(A, B):
    """Compute the matrix whose entries are the kernel
       evaluated on pairwise data from sets A and B."""
kernel = np.array([[kernel(a, b) for b in B] for a in A]) #how can I pass on the method?
return kernel



def Quantum_Kernel_pennylane(train_X, test_X, train_y, test_y, method):
n_qubits = len(train_X[0])

dev_kernel = qml.device('lightning.qubit', wires=n_qubits)

projector = np.zeros((2**n_qubits, 2**n_qubits))
projector[0, 0] = 1

@qml.qnode(dev_kernel, interface="autograd")
def kernel(x1, x2):
    """The quantum kernel.
       We use the adjoint method.
    """ 
    if method == qml.templates.embeddings.AmplitudeEmbedding:
        method(x1, wires=range(n_qubits), pad_with=0.4)  
        qml.adjoint(method)(x2, wires=range(n_qubits), pad_with=0.4)   
        return qml.expval(qml.Hermitian(projector, wires=range(n_qubits)))

    method(x1, wires=range(n_qubits))
    qml.adjoint(method)(x2, wires=range(n_qubits))   
    return qml.expval(qml.Hermitian(projector, wires=range(n_qubits)))

svm = SVC(kernel=kernel_matrix).fit(train_X, train_y) # here is the problem how can I pass on the method?
predictions = svm.predict(test_X)
print(accuracy_score(predictions, test_y))






def main():
 methods = [IQPEmbedding,
           AngleEmbedding,
           AmplitudeEmbedding
          ]
for method in methods:
    print(method)
    Quantum_Kernel_pennylane(train_X, test_X, train_y, test_y, method)# I want to pass on the Method