Python set_trainable示例

示例#1

def create_model():
    kernel = create_kernel()
    model = gpflow.models.SVGP(
        kernel=kernel,
        likelihood=gpflow.likelihoods.Gaussian(variance_lower_bound=None),
        inducing_variable=Data.Z,
        q_diag=True,
    )
    set_trainable(model.q_mu, False)
    return model

示例#2

def create_kernel():
    kern = gpflow.kernels.SquaredExponential(lengthscales=Data.ls,
                                             variance=Data.var)
    set_trainable(kern.lengthscales, False)
    return kern