Index

_

__init__() (inferpy.inferences.qmodel.Qmodel method) (inferpy.models.deterministic.Deterministic method) (inferpy.models.factory.Bernoulli method) (inferpy.models.factory.Beta method) (inferpy.models.factory.Categorical method) (inferpy.models.factory.Dirichlet method) (inferpy.models.factory.Exponential method) (inferpy.models.factory.Gamma method) (inferpy.models.factory.InverseGamma method) (inferpy.models.factory.Laplace method) (inferpy.models.factory.Multinomial method) (inferpy.models.factory.MultivariateNormalDiag method) (inferpy.models.factory.Normal method) (inferpy.models.factory.Poisson method) (inferpy.models.factory.Uniform method) (inferpy.models.prob_model.ProbModel method) (inferpy.models.random_variable.RandomVariable method) (inferpy.models.replicate.replicate method)

A

add_var() (inferpy.inferences.qmodel.Qmodel method) (inferpy.models.prob_model.ProbModel method)

ALLOWED_METRICS (in module inferpy.criticism.evaluate)

B

base_object (inferpy.models.random_variable.RandomVariable attribute) batches (inferpy.models.random_variable.RandomVariable attribute) Bernoulli (class in inferpy.models.factory) Bernoulli() (inferpy.inferences.qmodel.Qmodel class method)

Beta (class in inferpy.models.factory) Beta() (inferpy.inferences.qmodel.Qmodel class method) bind (inferpy.models.random_variable.RandomVariable attribute) build_from_pmodel() (inferpy.inferences.qmodel.Qmodel static method)

C

case() (in module inferpy.util.ops) case_states() (in module inferpy.util.ops) Categorical (class in inferpy.models.factory) Categorical() (inferpy.inferences.qmodel.Qmodel class method) compatible_var() (inferpy.inferences.qmodel.Qmodel static method) (inferpy.models.prob_model.ProbModel static method) compile() (inferpy.models.prob_model.ProbModel method)

concentration (inferpy.models.factory.Dirichlet attribute) (inferpy.models.factory.Gamma attribute) (inferpy.models.factory.InverseGamma attribute) concentration0 (inferpy.models.factory.Beta attribute) concentration1 (inferpy.models.factory.Beta attribute) copy() (inferpy.models.prob_model.ProbModel method) (inferpy.models.random_variable.RandomVariable method)

D

def_random_variable() (in module inferpy.models.factory) Deterministic (class in inferpy.models.deterministic) Deterministic() (inferpy.inferences.qmodel.Qmodel class method) dict (inferpy.inferences.qmodel.Qmodel attribute)

dim (inferpy.models.random_variable.RandomVariable attribute) Dirichlet (class in inferpy.models.factory) Dirichlet() (inferpy.inferences.qmodel.Qmodel class method) dist (inferpy.models.random_variable.RandomVariable attribute) dot() (in module inferpy.util.ops)

E

Empirical() (inferpy.inferences.qmodel.Qmodel static method) equal() (inferpy.models.random_variable.RandomVariable method) evaluate() (in module inferpy.criticism.evaluate)

event_shape (inferpy.models.random_variable.RandomVariable attribute) Exponential (class in inferpy.models.factory) Exponential() (inferpy.inferences.qmodel.Qmodel class method)

F

fit() (inferpy.models.prob_model.ProbModel method)

fix_shape() (in module inferpy.util.ops)

G

Gamma (class in inferpy.models.factory) Gamma() (inferpy.inferences.qmodel.Qmodel class method) gather() (in module inferpy.util.ops) get_active_model() (inferpy.models.prob_model.ProbModel static method) get_active_replicate() (inferpy.models.replicate.replicate static method) get_all_replicate() (inferpy.models.replicate.replicate static method) get_config() (inferpy.models.prob_model.ProbModel method) get_copy_from() (inferpy.models.prob_model.ProbModel method) get_key_from_var() (inferpy.models.random_variable.RandomVariable static method)

get_local_hidden() (inferpy.models.random_variable.RandomVariable method) get_parents() (inferpy.models.prob_model.ProbModel method) get_replicate_list() (inferpy.models.random_variable.RandomVariable method) get_session() (in module inferpy.util.runtime) get_total_size() (inferpy.models.replicate.replicate static method) get_var() (inferpy.models.prob_model.ProbModel method) get_var_with_key() (inferpy.models.random_variable.RandomVariable static method) get_vardict() (inferpy.models.prob_model.ProbModel method) get_vardict_rev() (inferpy.models.prob_model.ProbModel method)

H

high (inferpy.models.factory.Uniform attribute)

I

in_replicate() (inferpy.models.replicate.replicate static method) INF_METHODS (in module inferpy.inferences.inference) INF_METHODS_ALIAS (in module inferpy.inferences.inference) inferpy.criticism.evaluate (module) inferpy.inferences.inference (module) inferpy.inferences.qmodel (module) inferpy.models.deterministic (module) inferpy.models.factory (module) inferpy.models.prob_model (module) inferpy.models.random_variable (module) inferpy.models.replicate (module)

inferpy.util.error (module) inferpy.util.format (module) inferpy.util.ops (module) inferpy.util.runtime (module) inferpy.util.wrappers (module) inferpy.version (module) input_model_data() (in module inferpy.util.wrappers) InverseGamma (class in inferpy.models.factory) InverseGamma() (inferpy.inferences.qmodel.Qmodel class method) is_active() (inferpy.models.prob_model.ProbModel static method) is_compiled() (inferpy.models.prob_model.ProbModel method) is_generic_variable() (inferpy.models.random_variable.RandomVariable method)

L

Laplace (class in inferpy.models.factory) Laplace() (inferpy.inferences.qmodel.Qmodel class method) latent_vars (inferpy.models.prob_model.ProbModel attribute) loc (inferpy.models.deterministic.Deterministic attribute) (inferpy.models.factory.Laplace attribute) (inferpy.models.factory.MultivariateNormalDiag attribute) (inferpy.models.factory.Normal attribute)

log_prob() (inferpy.models.prob_model.ProbModel method) (inferpy.models.random_variable.RandomVariable method) logits (inferpy.models.factory.Bernoulli attribute) (inferpy.models.factory.Categorical attribute) (inferpy.models.factory.Multinomial attribute) low (inferpy.models.factory.Uniform attribute)

M

matmul() (in module inferpy.util.ops) mean() (inferpy.models.random_variable.RandomVariable method) Multinomial (class in inferpy.models.factory)

Multinomial() (inferpy.inferences.qmodel.Qmodel class method) multishape() (in module inferpy.util.wrappers) MultivariateNormalDiag (class in inferpy.models.factory) MultivariateNormalDiag() (inferpy.inferences.qmodel.Qmodel class method)

N

name (inferpy.models.random_variable.RandomVariable attribute) new_qvar() (inferpy.inferences.qmodel.Qmodel static method) new_qvar_empirical() (inferpy.inferences.qmodel.Qmodel static method)

no_parents() (inferpy.models.prob_model.ProbModel method) Normal (class in inferpy.models.factory) Normal() (inferpy.inferences.qmodel.Qmodel class method) np_str() (in module inferpy.util.format)

O

observed (inferpy.models.random_variable.RandomVariable attribute)

observed_vars (inferpy.models.prob_model.ProbModel attribute)

P

param_to_tf() (in module inferpy.util.ops) PARAMS (inferpy.models.factory.Bernoulli attribute) (inferpy.models.factory.Beta attribute) (inferpy.models.factory.Categorical attribute) (inferpy.models.factory.Dirichlet attribute) (inferpy.models.factory.Exponential attribute) (inferpy.models.factory.Gamma attribute) (inferpy.models.factory.InverseGamma attribute) (inferpy.models.factory.Laplace attribute) (inferpy.models.factory.Multinomial attribute) (inferpy.models.factory.MultivariateNormalDiag attribute) (inferpy.models.factory.Normal attribute) (inferpy.models.factory.Poisson attribute) (inferpy.models.factory.Uniform attribute)

Poisson (class in inferpy.models.factory) Poisson() (inferpy.inferences.qmodel.Qmodel class method) posterior() (inferpy.models.prob_model.ProbModel method) predict() (inferpy.models.prob_model.ProbModel method) predict_old() (inferpy.models.prob_model.ProbModel method) print_total_size() (inferpy.models.replicate.replicate static method) prob() (inferpy.models.random_variable.RandomVariable method) ProbModel (class in inferpy.models.prob_model) probs (inferpy.models.factory.Bernoulli attribute) (inferpy.models.factory.Categorical attribute) (inferpy.models.factory.Multinomial attribute) prod_prob() (inferpy.models.random_variable.RandomVariable method)

Q

Qmodel (class in inferpy.inferences.qmodel)

R

RandomVariable (class in inferpy.models.random_variable) rate (inferpy.models.factory.Exponential attribute) (inferpy.models.factory.Gamma attribute) (inferpy.models.factory.InverseGamma attribute)

replicate (class in inferpy.models.replicate) reset_compilation() (inferpy.models.prob_model.ProbModel method)

S

sample() (inferpy.models.prob_model.ProbModel method) (inferpy.models.random_variable.RandomVariable method) scale (inferpy.models.factory.Laplace attribute) (inferpy.models.factory.Normal attribute) scale_diag (inferpy.models.factory.MultivariateNormalDiag attribute) ScopeException shape (inferpy.models.random_variable.RandomVariable attribute)

shape_to_list() (in module inferpy.util.ops) singleton() (in module inferpy.util.wrappers) static_multishape() (in module inferpy.util.wrappers) stddev() (inferpy.models.random_variable.RandomVariable method) sum_log_prob() (inferpy.models.prob_model.ProbModel method) (inferpy.models.random_variable.RandomVariable method) summary() (inferpy.models.prob_model.ProbModel method)

T

tf_run_wrapper() (in module inferpy.util.wrappers)

to_json() (inferpy.models.prob_model.ProbModel method) total_count (inferpy.models.factory.Multinomial attribute)

U

Uniform (class in inferpy.models.factory)

Uniform() (inferpy.inferences.qmodel.Qmodel class method)

V

variance() (inferpy.models.random_variable.RandomVariable method)

varlist (inferpy.inferences.qmodel.Qmodel attribute) (inferpy.models.prob_model.ProbModel attribute)