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Installation
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Guiding Principles
Features
Architecture
Guides
Guide to Building Probabilistic Models
Getting Started with Probabilistic Models
Random Variables
Probabilistic Models
Supported Probability Distributions
Bernoulli
Beta
Categorical
Deterministic
Dirichlet
Exponential
Gamma
Inverse-gamma
Laplace
Multinomial
Normal
Poisson
Uniform
Guide to Approximate Inference
Getting Started with Approximate Inference
Compositional Inference
Supported Inference Methods
Guide to Model Validation
Guide to Data Handling
Model Zoo
Probabilistic Model Zoo
Bayesian Linear Regression
Bayesian Logistic Regression
Bayesian Multinomial Logistic Regression
Linear Factor Model (PCA)
PCA with ARD Prior (PCA)
Matrix Factorization
Package Reference
inferpy package
Subpackages
inferpy.inferences package
Module contents
inferpy.models package
Submodules
inferpy.models.normal module
inferpy.models.random_variable module
Module contents
inferpy.util package
Submodules
inferpy.util.error module
inferpy.util.ops module
inferpy.util.runtime module
inferpy.util.wrappers module
Module contents
Submodules
inferpy.prob_model module
inferpy.replicate module
inferpy.version module
Module contents
inferpy.models package
Submodules
inferpy.models.normal module
inferpy.models.random_variable module
Module contents
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inferpy package
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inferpy.util package
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inferpy.util package
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Submodules
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inferpy.util.error module
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inferpy.util.ops module
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inferpy.util.runtime module
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inferpy.util.wrappers module
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Module contents
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