TensorFlow 1 version |
Core module for TensorFlow distribution objects and helpers.
Classes
class Bernoulli
: Bernoulli distribution.
class Beta
: Beta distribution.
class Categorical
: Categorical distribution.
class Dirichlet
: Dirichlet distribution.
class DirichletMultinomial
: Dirichlet-Multinomial compound distribution.
class Distribution
: A generic probability distribution base class.
class Exponential
: Exponential distribution.
class Gamma
: Gamma distribution.
class Laplace
: The Laplace distribution with location loc
and scale
parameters.
class Multinomial
: Multinomial distribution.
class Normal
: The Normal distribution with location loc
and scale
parameters.
class RegisterKL
: Decorator to register a KL divergence implementation function.
class ReparameterizationType
: Instances of this class represent how sampling is reparameterized.
class StudentT
: Student's t-distribution.
class Uniform
: Uniform distribution with low
and high
parameters.
Functions
kl_divergence(...)
: Get the KL-divergence KL(distribution_a || distribution_b). (deprecated)
Other Members | |
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FULLY_REPARAMETERIZED |
Instance of tf.compat.v1.distributions.ReparameterizationType
|
NOT_REPARAMETERIZED |
Instance of tf.compat.v1.distributions.ReparameterizationType
|