Function create_model

tests/gpflow/utilities/test_traversal.py:93–102

()

def create_model() -> gpflow.models.GPModel:
    kernel = create_kernel()
    model = gpflow.models.SVGP(
        kernel=kernel,
        likelihood=gpflow.likelihoods.Gaussian(variance_lower_bound=0.0),
        inducing_variable=Data.Z,
        q_diag=True,
    )
    set_trainable(model.q_mu, False)
    return model


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