ab.likelihoods¶
Target/Output likelihoods.
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class
aboleth.likelihoods.
Bernoulli
¶ Bases:
aboleth.likelihoods.Likelihood
Bernoulli log-likelihood.
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class
aboleth.likelihoods.
Binomial
(n)¶ Bases:
aboleth.likelihoods.Likelihood
Binomial log-likelihood.
Parameters: n (float, ndarray, Tensor) – the number of trials of this binomial distribution
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class
aboleth.likelihoods.
Categorical
¶ Bases:
aboleth.likelihoods.Likelihood
Categorical, or Generalized Bernoulli log-likelihood.
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class
aboleth.likelihoods.
Likelihood
¶ Bases:
object
Abstract base class for likelihood objects.
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class
aboleth.likelihoods.
Normal
(variance)¶ Bases:
aboleth.likelihoods.Likelihood
Normal log-likelihood.
Parameters: variance (float, Tensor) – the variance of the Normal likelihood, this can be made a tf.Variable if you want to learn this.