d1ac7b831ad36cd0e4bdd7980819f83208345148,gpflow/expectations.py,,_expectation,#Any#Any#Any#Any#Any#,485

Before Change

@dispatch(Gaussian, kernels.Sum, type(None), type(None), type(None))
def _expectation(p, kern, none1, none2, none3):
    _expectation_fn = lambda k: _expectation(p, k, None, None, None)
    return functools.reduce(tf.add, [_expectation_fn(k) for k in kern.kern_list])


@dispatch(Gaussian, kernels.Sum, InducingPoints, type(None), type(None))

After Change

    :return: NxQxM
    
    return functools.reduce(tf.add, [
        expectation(p, mean, (k, feat)) for k in kern.kern_list])


@dispatch(MarkovGaussian, mean_functions.Identity, type(None), kernels.Sum, InducingPoints)

Instances