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How to use the edward2.Bernoulli function in edward2

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pyro-ppl / numpyro / benchmarks / covtype.py View on Github

def edward_model(features):
    """Bayesian logistic regression, which returns labels given features."""
    coeffs = ed.MultivariateNormalDiag(
        loc=tf.zeros(features.shape[1]), name="coeffs")
    labels = ed.Bernoulli(
        logits=tf.tensordot(features, coeffs, [[1], [0]]), name="labels")
    return labels