bugfix
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@ -291,7 +291,7 @@ class BayesianKDEy(AggregativeSoftQuantifier, KDEBase, WithConfidenceABC):
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if alpha is not None:
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if alpha is not None:
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alpha = jnp.asarray(alpha)
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alpha = jnp.asarray(alpha)
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numpyro.factor(
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numpyro.factor(
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'log_prior', dist.Dirichlet(alpha.log_prob(prev))
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'log_prior', dist.Dirichlet(alpha).log_prob(prev)
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)
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)
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# if alpha is None, then this corresponds to a weak logistic-normal prior
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# if alpha is None, then this corresponds to a weak logistic-normal prior
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