Index

A

add_random_variable() (pymc3.model.Model method) add_values() (pymc3.backends.base.MultiTrace method) ADVI (class in pymc3.variational.inference) apply() (pymc3.variational.operators.KL method) (pymc3.variational.operators.KSD method) (pymc3.variational.opvi.Operator method) Approximation (class in pymc3.variational.opvi)

AR (class in pymc3.distributions.timeseries) AR1 (class in pymc3.distributions.timeseries) array_to_dict() (pymc3.model.ValueGradFunction method) array_to_full_dict() (pymc3.model.ValueGradFunction method) assign_step_methods() (in module pymc3.sampling) ASVGD (class in pymc3.variational.inference) AsymmetricLaplace (class in pymc3.distributions.continuous)

B

backward() (pymc3.distributions.transforms.Chain method) (pymc3.distributions.transforms.CholeskyCovPacked method) (pymc3.distributions.transforms.Circular method) (pymc3.distributions.transforms.Interval method) (pymc3.distributions.transforms.Log method) (pymc3.distributions.transforms.LogExpM1 method) (pymc3.distributions.transforms.LogOdds method) (pymc3.distributions.transforms.LowerBound method) (pymc3.distributions.transforms.Ordered method) (pymc3.distributions.transforms.StickBreaking method) (pymc3.distributions.transforms.SumTo1 method) (pymc3.distributions.transforms.Transform method) (pymc3.distributions.transforms.UpperBound method) BaseTrace (class in pymc3.backends.base)

basic_RVs() (pymc3.model.Model property) BatchedDiag (class in pymc3.math) Bernoulli (class in pymc3.distributions.discrete) Beta (class in pymc3.distributions.continuous) BetaBinomial (class in pymc3.distributions.discrete) BinaryGibbsMetropolis (class in pymc3.step_methods.metropolis) BinaryMetropolis (class in pymc3.step_methods.metropolis) Binomial (class in pymc3.distributions.discrete) block_diagonal() (in module pymc3.math) BlockDiagonalMatrix (class in pymc3.math) Bound (class in pymc3.distributions.bound) broadcast_dist_samples_shape() (in module pymc3.distributions.shape_utils) broadcast_dist_samples_to() (in module pymc3.distributions.shape_utils) broadcast_distribution_samples() (in module pymc3.distributions.shape_utils)

C

cartesian() (in module pymc3.math) Categorical (class in pymc3.distributions.discrete) CategoricalGibbsMetropolis (class in pymc3.step_methods.metropolis) Cauchy (class in pymc3.distributions.continuous) Chain (class in pymc3.distributions.transforms) check_test_point() (pymc3.model.Model method) ChiSquared (class in pymc3.distributions.continuous) CholeskyCovPacked (class in pymc3.distributions.transforms) Circular (class in pymc3.distributions.transforms) clone() (pymc3.data.Minibatch method) close() (pymc3.backends.ndarray.NDArray method) competence() (pymc3.step_methods.hmc.hmc.HamiltonianMC static method) (pymc3.step_methods.hmc.nuts.NUTS static method) (pymc3.step_methods.metropolis.BinaryGibbsMetropolis static method) (pymc3.step_methods.metropolis.BinaryMetropolis static method) (pymc3.step_methods.metropolis.CategoricalGibbsMetropolis static method)

compilef() (in module pymc3.model) conditional() (pymc3.gp.gp.Latent method) (pymc3.gp.gp.LatentKron method) (pymc3.gp.gp.Marginal method) (pymc3.gp.gp.MarginalKron method) (pymc3.gp.gp.MarginalSparse method) (pymc3.gp.gp.TP method) Constant (class in pymc3.distributions.discrete) (class in pymc3.gp.cov) (class in pymc3.gp.mean) ConstantDist (in module pymc3.distributions.discrete) cont_vars() (pymc3.model.Model property) Continuous (class in pymc3.distributions) Coregion (class in pymc3.gp.cov) Cosine (class in pymc3.gp.cov)

D

d2logp() (pymc3.model.Factor method) d2logp_nojac() (pymc3.model.Factor method) Data (class in pymc3.data) datalogp() (pymc3.variational.opvi.Approximation property) datalogp_norm() (pymc3.variational.opvi.Approximation property) DEMetropolis (class in pymc3.step_methods.metropolis) DEMetropolisZ (class in pymc3.step_methods.metropolis) DensityDist (class in pymc3.distributions) Deterministic() (in module pymc3.model) dict_to_array() (pymc3.model.ValueGradFunction method)

DifferentialEquation (class in pymc3.ode) Dirichlet (class in pymc3.distributions.multivariate) DirichletMultinomial (class in pymc3.distributions.multivariate) disc_vars() (pymc3.model.Model property) Discrete (class in pymc3.distributions) DiscreteUniform (class in pymc3.distributions.discrete) DiscreteWeibull (class in pymc3.distributions.discrete) Distribution (class in pymc3.distributions) dlogp() (pymc3.model.Factor method) dlogp_nojac() (pymc3.model.Factor method) draw_values() (in module pymc3.distributions)

E

Empirical (class in pymc3.variational.approximations) EulerMaruyama (class in pymc3.distributions.timeseries) evaluate_over_trace() (pymc3.variational.approximations.Empirical method) ExGaussian (class in pymc3.distributions.continuous)

expand_packed_triangular() (in module pymc3.math) Exponential (class in pymc3.distributions.continuous) (class in pymc3.gp.cov) ExpQuad (class in pymc3.gp.cov)

F

Factor (class in pymc3.model) fast_sample_posterior_predictive() (in module pymc3.sampling) fastd2logp() (pymc3.model.Factor method) fastd2logp_nojac() (pymc3.model.Factor method) fastdlogp() (pymc3.model.Factor method) fastdlogp_nojac() (pymc3.model.Factor method) fastfn() (in module pymc3.model) (pymc3.model.Model method) fastlogp() (pymc3.model.Factor property) fit() (in module pymc3.variational.inference) (pymc3.variational.inference.ASVGD method) (pymc3.variational.inference.Inference method) Flat (class in pymc3.distributions.continuous) flatten() (pymc3.model.Model method) fn() (in module pymc3.model) (pymc3.model.Model method) forward() (pymc3.distributions.transforms.Chain method) (pymc3.distributions.transforms.CholeskyCovPacked method) (pymc3.distributions.transforms.Circular method) (pymc3.distributions.transforms.Interval method) (pymc3.distributions.transforms.Log method) (pymc3.distributions.transforms.LogExpM1 method) (pymc3.distributions.transforms.LogOdds method) (pymc3.distributions.transforms.LowerBound method) (pymc3.distributions.transforms.Ordered method) (pymc3.distributions.transforms.StickBreaking method) (pymc3.distributions.transforms.SumTo1 method) (pymc3.distributions.transforms.Transform method) (pymc3.distributions.transforms.UpperBound method)

forward_val() (pymc3.distributions.transforms.Chain method) (pymc3.distributions.transforms.CholeskyCovPacked method) (pymc3.distributions.transforms.Circular method) (pymc3.distributions.transforms.Interval method) (pymc3.distributions.transforms.Log method) (pymc3.distributions.transforms.LogExpM1 method) (pymc3.distributions.transforms.LogOdds method) (pymc3.distributions.transforms.LowerBound method) (pymc3.distributions.transforms.Ordered method) (pymc3.distributions.transforms.StickBreaking method) (pymc3.distributions.transforms.SumTo1 method) (pymc3.distributions.transforms.Transform method) (pymc3.distributions.transforms.UpperBound method) FreeRV (class in pymc3.model) from_formula() (pymc3.glm.linear.GLM class method) (pymc3.glm.linear.LinearComponent class method) FullRank (class in pymc3.variational.approximations) FullRankADVI (class in pymc3.variational.inference)

G

Gamma (class in pymc3.distributions.continuous) GARCH11 (class in pymc3.distributions.timeseries) GaussianRandomWalk (class in pymc3.distributions.timeseries) generate_samples() (in module pymc3.distributions) GeneratorAdapter (class in pymc3.data) Geometric (class in pymc3.distributions.discrete) get_broadcastable_dist_samples() (in module pymc3.distributions.shape_utils) get_data() (in module pymc3.data) get_optimization_replacements() (pymc3.variational.opvi.Approximation method) get_sampler_stats() (pymc3.backends.base.MultiTrace method)

get_values() (pymc3.backends.base.MultiTrace method) (pymc3.backends.ndarray.NDArray method) Gibbs (class in pymc3.gp.cov) GLM (class in pymc3.glm.linear) grad() (pymc3.math.BatchedDiag method) (pymc3.math.BlockDiagonalMatrix method) (pymc3.math.LogDet method) (pymc3.ode.DifferentialEquation method) Group (class in pymc3.variational.opvi) Gumbel (class in pymc3.distributions.continuous)

H

HalfCauchy (class in pymc3.distributions.continuous) HalfFlat (class in pymc3.distributions.continuous) HalfNormal (class in pymc3.distributions.continuous)

HalfStudentT (class in pymc3.distributions.continuous) HamiltonianMC (class in pymc3.step_methods.hmc.hmc) HyperGeometric (class in pymc3.distributions.discrete)

I

ImplicitGradient (class in pymc3.variational.inference) infer_comp_dist_shapes() (pymc3.distributions.mixture.Mixture method) Inference (class in pymc3.variational.inference) init_nuts() (in module pymc3.sampling) init_value() (pymc3.model.FreeRV property) (pymc3.model.ObservedRV property) (pymc3.model.TransformedRV property)

initialize_logp() (pymc3.smc.smc.SMC method) initialize_population() (pymc3.smc.smc.SMC method) Interpolated (class in pymc3.distributions.continuous) Interval (class in pymc3.distributions.transforms) InverseGamma (class in pymc3.distributions.continuous) invlogit() (in module pymc3.math) iter_sample() (in module pymc3.sampling)

J

jacobian_det() (pymc3.distributions.transforms.Chain method) (pymc3.distributions.transforms.CholeskyCovPacked method) (pymc3.distributions.transforms.Circular method) (pymc3.distributions.transforms.Interval method) (pymc3.distributions.transforms.Log method) (pymc3.distributions.transforms.LogExpM1 method) (pymc3.distributions.transforms.LowerBound method) (pymc3.distributions.transforms.Ordered method) (pymc3.distributions.transforms.StickBreaking method) (pymc3.distributions.transforms.SumTo1 method) (pymc3.distributions.transforms.Transform method) (pymc3.distributions.transforms.UpperBound method)

K

KL (class in pymc3.variational.operators) KLqp (class in pymc3.variational.inference) Kron (class in pymc3.gp.cov) kron_diag() (in module pymc3.math) kron_dot() (in module pymc3.math) kron_matrix_op() (in module pymc3.math)

kron_solve_lower() (in module pymc3.math) kron_solve_upper() (in module pymc3.math) kronecker() (in module pymc3.math) KroneckerNormal (class in pymc3.distributions.multivariate) KSD (class in pymc3.variational.operators) Kumaraswamy (class in pymc3.distributions.continuous)

L

Laplace (class in pymc3.distributions.continuous) Latent (class in pymc3.gp.gp) LatentKron (class in pymc3.gp.gp) Linear (class in pymc3.gp.cov) (class in pymc3.gp.mean) LinearComponent (class in pymc3.glm.linear) LKJCholeskyCov() (in module pymc3.distributions.multivariate) LKJCorr (class in pymc3.distributions.multivariate) load_trace() (in module pymc3.backends.ndarray) Log (class in pymc3.distributions.transforms) log1mexp() (in module pymc3.math) log1mexp_numpy() (in module pymc3.math) log1pexp() (in module pymc3.math) logcdf() (pymc3.distributions.continuous.Beta method) (pymc3.distributions.continuous.Cauchy method) (pymc3.distributions.continuous.ExGaussian method) (pymc3.distributions.continuous.Exponential method) (pymc3.distributions.continuous.Flat method) (pymc3.distributions.continuous.Gamma method) (pymc3.distributions.continuous.Gumbel method) (pymc3.distributions.continuous.HalfCauchy method) (pymc3.distributions.continuous.HalfFlat method) (pymc3.distributions.continuous.HalfNormal method) (pymc3.distributions.continuous.InverseGamma method) (pymc3.distributions.continuous.Laplace method) (pymc3.distributions.continuous.Logistic method) (pymc3.distributions.continuous.Lognormal method) (pymc3.distributions.continuous.Moyal method) (pymc3.distributions.continuous.Normal method) (pymc3.distributions.continuous.Pareto method) (pymc3.distributions.continuous.StudentT method) (pymc3.distributions.continuous.Triangular method) (pymc3.distributions.continuous.Uniform method) (pymc3.distributions.continuous.Wald method) (pymc3.distributions.continuous.Weibull method) (pymc3.distributions.discrete.Bernoulli method) (pymc3.distributions.discrete.BetaBinomial method) (pymc3.distributions.discrete.Binomial method) (pymc3.distributions.discrete.DiscreteUniform method) (pymc3.distributions.discrete.DiscreteWeibull method) (pymc3.distributions.discrete.Geometric method) (pymc3.distributions.discrete.HyperGeometric method) (pymc3.distributions.discrete.NegativeBinomial method) (pymc3.distributions.discrete.Poisson method) (pymc3.distributions.discrete.ZeroInflatedBinomial method) (pymc3.distributions.discrete.ZeroInflatedNegativeBinomial method) (pymc3.distributions.discrete.ZeroInflatedPoisson method) LogDet (class in pymc3.math) logdiffexp() (in module pymc3.math) logdiffexp_numpy() (in module pymc3.math) LogExpM1 (class in pymc3.distributions.transforms) Logistic (class in pymc3.distributions.continuous) LogitNormal (class in pymc3.distributions.continuous) Lognormal (class in pymc3.distributions.continuous) LogOdds (class in pymc3.distributions.transforms) logp() (pymc3.distributions.continuous.AsymmetricLaplace method) (pymc3.distributions.continuous.Beta method) (pymc3.distributions.continuous.Cauchy method) (pymc3.distributions.continuous.ExGaussian method) (pymc3.distributions.continuous.Exponential method) (pymc3.distributions.continuous.Flat method) (pymc3.distributions.continuous.Gamma method) (pymc3.distributions.continuous.Gumbel method) (pymc3.distributions.continuous.HalfCauchy method) (pymc3.distributions.continuous.HalfFlat method) (pymc3.distributions.continuous.HalfNormal method) (pymc3.distributions.continuous.HalfStudentT method) (pymc3.distributions.continuous.Interpolated method) (pymc3.distributions.continuous.InverseGamma method) (pymc3.distributions.continuous.Kumaraswamy method) (pymc3.distributions.continuous.Laplace method) (pymc3.distributions.continuous.Logistic method) (pymc3.distributions.continuous.LogitNormal method) (pymc3.distributions.continuous.Lognormal method) (pymc3.distributions.continuous.Moyal method) (pymc3.distributions.continuous.Normal method) (pymc3.distributions.continuous.Pareto method) (pymc3.distributions.continuous.Rice method) (pymc3.distributions.continuous.SkewNormal method) (pymc3.distributions.continuous.StudentT method) (pymc3.distributions.continuous.Triangular method) (pymc3.distributions.continuous.TruncatedNormal method) (pymc3.distributions.continuous.Uniform method) (pymc3.distributions.continuous.VonMises method) (pymc3.distributions.continuous.Wald method) (pymc3.distributions.continuous.Weibull method) (pymc3.distributions.discrete.Bernoulli method) (pymc3.distributions.discrete.BetaBinomial method) (pymc3.distributions.discrete.Binomial method) (pymc3.distributions.discrete.Categorical method) (pymc3.distributions.discrete.Constant method) (pymc3.distributions.discrete.DiscreteUniform method) (pymc3.distributions.discrete.DiscreteWeibull method) (pymc3.distributions.discrete.Geometric method) (pymc3.distributions.discrete.HyperGeometric method) (pymc3.distributions.discrete.NegativeBinomial method) (pymc3.distributions.discrete.Poisson method) (pymc3.distributions.discrete.ZeroInflatedBinomial method) (pymc3.distributions.discrete.ZeroInflatedNegativeBinomial method) (pymc3.distributions.discrete.ZeroInflatedPoisson method) (pymc3.distributions.mixture.Mixture method) (pymc3.distributions.mixture.MixtureSameFamily method) (pymc3.distributions.multivariate.Dirichlet method) (pymc3.distributions.multivariate.DirichletMultinomial method) (pymc3.distributions.multivariate.KroneckerNormal method) (pymc3.distributions.multivariate.LKJCorr method) (pymc3.distributions.multivariate.MatrixNormal method) (pymc3.distributions.multivariate.Multinomial method) (pymc3.distributions.multivariate.MvNormal method) (pymc3.distributions.multivariate.MvStudentT method) (pymc3.distributions.multivariate.Wishart method) (pymc3.distributions.timeseries.AR method) (pymc3.distributions.timeseries.AR1 method) (pymc3.distributions.timeseries.EulerMaruyama method) (pymc3.distributions.timeseries.GARCH11 method) (pymc3.distributions.timeseries.GaussianRandomWalk method) (pymc3.distributions.timeseries.MvGaussianRandomWalk method) (pymc3.distributions.transforms.TransformedDistribution method) (pymc3.model.Factor property) (pymc3.variational.opvi.Approximation property)

logp_dlogp_function() (pymc3.model.Model method) logp_nojac() (pymc3.distributions.transforms.TransformedDistribution method) logp_nojact() (pymc3.model.Factor property) (pymc3.model.Model property) logp_norm() (pymc3.variational.opvi.Approximation property) logpt() (pymc3.model.Factor property) (pymc3.model.Model property) logq() (pymc3.variational.opvi.Approximation property) (pymc3.variational.opvi.Group property) logq_norm() (pymc3.variational.opvi.Approximation property) (pymc3.variational.opvi.Group property) LowerBound (class in pymc3.distributions.transforms)

M

make_node() (pymc3.math.BatchedDiag method) (pymc3.math.BlockDiagonalMatrix method) (pymc3.math.LogDet method) (pymc3.ode.DifferentialEquation method) make_size_and_deterministic_replacements() (pymc3.variational.opvi.Approximation method) (pymc3.variational.opvi.Group method) makefn() (pymc3.model.Model method) Marginal (class in pymc3.gp.gp) marginal_likelihood() (pymc3.gp.gp.Marginal method) (pymc3.gp.gp.MarginalKron method) (pymc3.gp.gp.MarginalSparse method) MarginalKron (class in pymc3.gp.gp) MarginalSparse (class in pymc3.gp.gp) Matern32 (class in pymc3.gp.cov) Matern52 (class in pymc3.gp.cov) MatrixNormal (class in pymc3.distributions.multivariate) MeanField (class in pymc3.variational.approximations) Metropolis (class in pymc3.step_methods.metropolis) Minibatch (class in pymc3.data) Mixture (class in pymc3.distributions.mixture) MixtureSameFamily (class in pymc3.distributions.mixture) Model (class in pymc3.model) model_to_graphviz() (in module pymc3.model_graph) modelcontext() (in module pymc3.model) module pymc3.backends pymc3.backends.ndarray pymc3.backends.tracetab pymc3.data pymc3.distributions.bound pymc3.distributions.continuous pymc3.distributions.discrete pymc3.distributions.mixture pymc3.distributions.multivariate pymc3.distributions.shape_utils pymc3.distributions.timeseries pymc3.glm.linear pymc3.gp.cov pymc3.gp.gp pymc3.gp.mean pymc3.math pymc3.model pymc3.model_graph pymc3.ode pymc3.sampling pymc3.step_methods.hmc.nuts pymc3.step_methods.metropolis pymc3.step_methods.slicer pymc3.variational.approximations pymc3.variational.inference pymc3.variational.operators pymc3.variational.opvi

Moyal (class in pymc3.distributions.continuous) Multinomial (class in pymc3.distributions.multivariate) MultiObservedRV (class in pymc3.model) MultiTrace (class in pymc3.backends.base) mutate() (pymc3.smc.smc.SMC method) MvGaussianRandomWalk (class in pymc3.distributions.timeseries) MvNormal (class in pymc3.distributions.multivariate) MvStudentT (class in pymc3.distributions.multivariate) MvStudentTRandomWalk (class in pymc3.distributions.timeseries)

N

name_for() (pymc3.model.Model method) name_of() (pymc3.model.Model method) NDArray (class in pymc3.backends.ndarray) NegativeBinomial (class in pymc3.distributions.discrete) NFVI (class in pymc3.variational.inference)

NoDistribution (class in pymc3.distributions) Normal (class in pymc3.distributions.continuous) NormalizingFlow (class in pymc3.variational.approximations) NormalMixture (class in pymc3.distributions.mixture) NUTS (class in pymc3.step_methods.hmc.nuts)

O

objective_class (pymc3.variational.operators.KSD attribute) (pymc3.variational.opvi.Operator attribute) ObjectiveFunction (class in pymc3.variational.opvi)

ObservedRV (class in pymc3.model) Operator (class in pymc3.variational.opvi) Ordered (class in pymc3.distributions.transforms) OrderedLogistic (class in pymc3.distributions.discrete)

P

Pareto (class in pymc3.distributions.continuous) perform() (pymc3.math.BatchedDiag method) (pymc3.math.BlockDiagonalMatrix method) (pymc3.math.LogDet method) (pymc3.ode.DifferentialEquation method) Periodic (class in pymc3.gp.cov) Point() (in module pymc3.model) point() (pymc3.backends.base.MultiTrace method) (pymc3.backends.ndarray.NDArray method) point_list_to_multitrace() (in module pymc3.backends.ndarray) points() (pymc3.backends.base.MultiTrace method) Poisson (class in pymc3.distributions.discrete) Polynomial (class in pymc3.gp.cov) posterior_to_trace() (pymc3.smc.smc.SMC method) Potential() (in module pymc3.model) predict() (pymc3.gp.gp.Marginal method) (pymc3.gp.gp.MarginalKron method) predictt() (pymc3.gp.gp.Marginal method) (pymc3.gp.gp.MarginalKron method) prior() (pymc3.gp.gp.Latent method) (pymc3.gp.gp.LatentKron method) (pymc3.gp.gp.TP method) profile() (pymc3.model.Model method) (pymc3.model.ValueGradFunction property) pymc3.backends module pymc3.backends.ndarray module pymc3.backends.tracetab module pymc3.data module pymc3.distributions.bound module pymc3.distributions.continuous module pymc3.distributions.discrete module pymc3.distributions.mixture module

pymc3.distributions.multivariate module pymc3.distributions.shape_utils module pymc3.distributions.timeseries module pymc3.glm.linear module pymc3.gp.cov module pymc3.gp.gp module pymc3.gp.mean module pymc3.math module pymc3.model module pymc3.model_graph module pymc3.ode module pymc3.sampling module pymc3.step_methods.hmc.nuts module pymc3.step_methods.metropolis module pymc3.step_methods.slicer module pymc3.variational.approximations module pymc3.variational.inference module pymc3.variational.operators module pymc3.variational.opvi module PyMC3Variable (class in pymc3.model)

R

random() (pymc3.distributions.continuous.AsymmetricLaplace method) (pymc3.distributions.continuous.Beta method) (pymc3.distributions.continuous.Cauchy method) (pymc3.distributions.continuous.ExGaussian method) (pymc3.distributions.continuous.Exponential method) (pymc3.distributions.continuous.Flat method) (pymc3.distributions.continuous.Gamma method) (pymc3.distributions.continuous.Gumbel method) (pymc3.distributions.continuous.HalfCauchy method) (pymc3.distributions.continuous.HalfFlat method) (pymc3.distributions.continuous.HalfNormal method) (pymc3.distributions.continuous.HalfStudentT method) (pymc3.distributions.continuous.Interpolated method) (pymc3.distributions.continuous.InverseGamma method) (pymc3.distributions.continuous.Kumaraswamy method) (pymc3.distributions.continuous.Laplace method) (pymc3.distributions.continuous.Logistic method) (pymc3.distributions.continuous.LogitNormal method) (pymc3.distributions.continuous.Lognormal method) (pymc3.distributions.continuous.Moyal method) (pymc3.distributions.continuous.Normal method) (pymc3.distributions.continuous.Pareto method) (pymc3.distributions.continuous.Rice method) (pymc3.distributions.continuous.SkewNormal method) (pymc3.distributions.continuous.StudentT method) (pymc3.distributions.continuous.Triangular method) (pymc3.distributions.continuous.TruncatedNormal method) (pymc3.distributions.continuous.Uniform method) (pymc3.distributions.continuous.VonMises method) (pymc3.distributions.continuous.Wald method) (pymc3.distributions.continuous.Weibull method) (pymc3.distributions.discrete.Bernoulli method) (pymc3.distributions.discrete.BetaBinomial method) (pymc3.distributions.discrete.Binomial method) (pymc3.distributions.discrete.Categorical method) (pymc3.distributions.discrete.Constant method) (pymc3.distributions.discrete.DiscreteUniform method) (pymc3.distributions.discrete.DiscreteWeibull method) (pymc3.distributions.discrete.Geometric method) (pymc3.distributions.discrete.HyperGeometric method) (pymc3.distributions.discrete.NegativeBinomial method) (pymc3.distributions.discrete.Poisson method) (pymc3.distributions.discrete.ZeroInflatedBinomial method) (pymc3.distributions.discrete.ZeroInflatedNegativeBinomial method) (pymc3.distributions.discrete.ZeroInflatedPoisson method) (pymc3.distributions.mixture.Mixture method) (pymc3.distributions.mixture.MixtureSameFamily method) (pymc3.distributions.multivariate.Dirichlet method) (pymc3.distributions.multivariate.DirichletMultinomial method) (pymc3.distributions.multivariate.KroneckerNormal method) (pymc3.distributions.multivariate.LKJCorr method) (pymc3.distributions.multivariate.MatrixNormal method) (pymc3.distributions.multivariate.Multinomial method) (pymc3.distributions.multivariate.MvNormal method) (pymc3.distributions.multivariate.MvStudentT method) (pymc3.distributions.multivariate.Wishart method) (pymc3.distributions.timeseries.GaussianRandomWalk method) (pymc3.distributions.timeseries.MvGaussianRandomWalk method)

RatQuad (class in pymc3.gp.cov) record() (pymc3.backends.ndarray.NDArray method) refine() (pymc3.variational.inference.Inference method) remove_values() (pymc3.backends.base.MultiTrace method) replacements() (pymc3.variational.opvi.Approximation property) resample() (pymc3.smc.smc.SMC method) reset_tuning() (pymc3.step_methods.metropolis.DEMetropolisZ method) (pymc3.step_methods.metropolis.Metropolis method) Rice (class in pymc3.distributions.continuous) rslice() (pymc3.variational.opvi.Approximation method)

S

sample() (in module pymc3.sampling) (pymc3.variational.opvi.Approximation method) sample_approx() (in module pymc3.variational.approximations) sample_node() (pymc3.variational.opvi.Approximation method) sample_posterior_predictive() (in module pymc3.sampling) sample_posterior_predictive_w() (in module pymc3.sampling) sample_prior_predictive() (in module pymc3.sampling) save_trace() (in module pymc3.backends.ndarray) scale_cost_to_minibatch() (pymc3.variational.opvi.Approximation property) ScaledCov (class in pymc3.gp.cov) score_function() (pymc3.variational.opvi.ObjectiveFunction method) set_data() (in module pymc3.model) set_size_and_deterministic() (pymc3.variational.opvi.Approximation method) (pymc3.variational.opvi.Group method) setup() (pymc3.backends.ndarray.NDArray method) setup_kernel() (pymc3.smc.smc.SMC method) shapes_broadcasting() (in module pymc3.distributions.shape_utils) single_symbolic_datalogp() (pymc3.variational.opvi.Approximation property) single_symbolic_logp() (pymc3.variational.opvi.Approximation property) single_symbolic_varlogp() (pymc3.variational.opvi.Approximation property) sized_symbolic_datalogp() (pymc3.variational.opvi.Approximation property)

sized_symbolic_logp() (pymc3.variational.opvi.Approximation property) sized_symbolic_varlogp() (pymc3.variational.opvi.Approximation property) SkewNormal (class in pymc3.distributions.continuous) Slice (class in pymc3.step_methods.slicer) SMC (class in pymc3.smc.smc) step_function() (pymc3.variational.opvi.ObjectiveFunction method) StickBreaking (class in pymc3.distributions.transforms) stop_tuning() (pymc3.step_methods.metropolis.DEMetropolisZ method) StudentT (class in pymc3.distributions.continuous) SumTo1 (class in pymc3.distributions.transforms) SVGD (class in pymc3.variational.inference) symbolic_logq() (pymc3.variational.opvi.Approximation property) (pymc3.variational.opvi.Group property) symbolic_logq_not_scaled() (pymc3.variational.opvi.Group property) symbolic_normalizing_constant() (pymc3.variational.opvi.Approximation property) (pymc3.variational.opvi.Group property) symbolic_random() (pymc3.variational.opvi.Group property) symbolic_random2d() (pymc3.variational.opvi.Group property) symbolic_sample_over_posterior() (pymc3.variational.opvi.Approximation method) (pymc3.variational.opvi.Group method) symbolic_single_sample() (pymc3.variational.opvi.Approximation method) (pymc3.variational.opvi.Group method)

T

TensorType() (in module pymc3.distributions) test_point() (pymc3.model.Model property) to_flat_input() (pymc3.variational.opvi.Approximation method) (pymc3.variational.opvi.Group method) to_tuple() (in module pymc3.distributions.shape_utils) TP (class in pymc3.gp.gp) trace_to_dataframe() (in module pymc3.backends.tracetab)

Transform (class in pymc3.distributions.transforms) transform (in module pymc3.distributions.transforms) TransformedDistribution (class in pymc3.distributions.transforms) TransformedRV (class in pymc3.model) Triangular (class in pymc3.distributions.continuous) tround() (in module pymc3.math) TruncatedNormal (class in pymc3.distributions.continuous) tune() (pymc3.smc.smc.SMC method)

U

Uniform (class in pymc3.distributions.continuous) unobserved_RVs() (pymc3.model.Model property) update_proposal() (pymc3.smc.smc.SMC method)

update_weights_beta() (pymc3.smc.smc.SMC method) updates() (pymc3.variational.opvi.ObjectiveFunction method) UpperBound (class in pymc3.distributions.transforms)

V

ValueGradFunction (class in pymc3.model) Var() (pymc3.model.Model method) varlogp() (pymc3.variational.opvi.Approximation property)

varlogp_norm() (pymc3.variational.opvi.Approximation property) varlogpt() (pymc3.model.Model property) vars() (pymc3.model.Model property) VonMises (class in pymc3.distributions.continuous)

W

Wald (class in pymc3.distributions.continuous) WarpedInput (class in pymc3.gp.cov) Weibull (class in pymc3.distributions.continuous)

WhiteNoise (class in pymc3.gp.cov) Wishart (class in pymc3.distributions.multivariate) WishartBartlett() (in module pymc3.distributions.multivariate)

Z

Zero (class in pymc3.gp.mean) ZeroInflatedBinomial (class in pymc3.distributions.discrete)

ZeroInflatedNegativeBinomial (class in pymc3.distributions.discrete) ZeroInflatedPoisson (class in pymc3.distributions.discrete)