Module: tf.compat.v1.distributions
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Public API for tf._api.v2.distributions namespace
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)
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# Module: tf.compat.v1.distributions\n\n\u003cbr /\u003e\n\nPublic API for tf._api.v2.distributions namespace\n\nClasses\n-------\n\n[`class Bernoulli`](../../../tf/compat/v1/distributions/Bernoulli): Bernoulli distribution.\n\n[`class Beta`](../../../tf/compat/v1/distributions/Beta): Beta distribution.\n\n[`class Categorical`](../../../tf/compat/v1/distributions/Categorical): Categorical distribution.\n\n[`class Dirichlet`](../../../tf/compat/v1/distributions/Dirichlet): Dirichlet distribution.\n\n[`class DirichletMultinomial`](../../../tf/compat/v1/distributions/DirichletMultinomial): Dirichlet-Multinomial compound distribution.\n\n[`class Distribution`](../../../tf/compat/v1/distributions/Distribution): A generic probability distribution base class.\n\n[`class Exponential`](../../../tf/compat/v1/distributions/Exponential): Exponential distribution.\n\n[`class Gamma`](../../../tf/compat/v1/distributions/Gamma): Gamma distribution.\n\n[`class Laplace`](../../../tf/compat/v1/distributions/Laplace): The Laplace distribution with location `loc` and `scale` parameters.\n\n[`class Multinomial`](../../../tf/compat/v1/distributions/Multinomial): Multinomial distribution.\n\n[`class Normal`](../../../tf/compat/v1/distributions/Normal): The Normal distribution with location `loc` and `scale` parameters.\n\n[`class RegisterKL`](../../../tf/compat/v1/distributions/RegisterKL): Decorator to register a KL divergence implementation function.\n\n[`class ReparameterizationType`](../../../tf/compat/v1/distributions/ReparameterizationType): Instances of this class represent how sampling is reparameterized.\n\n[`class StudentT`](../../../tf/compat/v1/distributions/StudentT): Student's t-distribution.\n\n[`class Uniform`](../../../tf/compat/v1/distributions/Uniform): Uniform distribution with `low` and `high` parameters.\n\nFunctions\n---------\n\n[`kl_divergence(...)`](../../../tf/compat/v1/distributions/kl_divergence): Get the KL-divergence KL(distribution_a \\|\\| distribution_b). (deprecated)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Other Members ------------- ||\n|-----------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| FULLY_REPARAMETERIZED | Instance of [`tf.compat.v1.distributions.ReparameterizationType`](../../../tf/compat/v1/distributions/ReparameterizationType) |\n| NOT_REPARAMETERIZED | Instance of [`tf.compat.v1.distributions.ReparameterizationType`](../../../tf/compat/v1/distributions/ReparameterizationType) |\n\n\u003cbr /\u003e"]]
