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bayespy.utils.linalg
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bayespy.utils.random.correlation
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bayespy.utils.random.gamma
bayespy.utils.random.gamma_entropy
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bayespy.utils.random.gaussian_entropy
bayespy.utils.random.gaussian_gamma_to_t
bayespy.utils.random.gaussian_logpdf
bayespy.utils.random.intervals
bayespy.utils.random.invwishart_rand
bayespy.utils.random.logodds_to_probability
bayespy.utils.random.mask
bayespy.utils.random.multinomial
bayespy.utils.random.orth
bayespy.utils.random.sphere
bayespy.utils.random.svd
bayespy.utils.random.t_logpdf
bayespy.utils.random.wishart
bayespy.utils.random.wishart_rand
bayespy.utils.optimize
bayespy.utils.misc
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bayespy.utils.random.gamma_entropy
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bayespy.utils.random.gamma_entropy
¶
bayespy.utils.random.
gamma_entropy
(
a
,
log_b
,
gammaln_a
,
psi_a
,
a_psi_a
)
[source]
¶
Entropy of
.
If you want to get the gradient, just let each parameter be a gradient of that term.
Parameters
a
ndarray
log_b
ndarray
gammaln_a
ndarray
psi_a
ndarray
a_psi_a
ndarray
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