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Examples
Learn
API
Community
Contributing
GitHub
Mastodon
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YouTube
Discourse
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Distributions
Continuous
pymc.AsymmetricLaplace
pymc.Beta
pymc.Cauchy
pymc.ChiSquared
pymc.ExGaussian
pymc.Exponential
pymc.Flat
pymc.Gamma
pymc.Gumbel
pymc.HalfCauchy
pymc.HalfFlat
pymc.HalfNormal
pymc.HalfStudentT
pymc.Interpolated
pymc.InverseGamma
pymc.Kumaraswamy
pymc.Laplace
pymc.Logistic
pymc.LogitNormal
pymc.LogNormal
pymc.Moyal
pymc.Normal
pymc.Pareto
pymc.PolyaGamma
pymc.Rice
pymc.SkewNormal
pymc.SkewStudentT
pymc.StudentT
pymc.Triangular
pymc.TruncatedNormal
pymc.Uniform
pymc.VonMises
pymc.Wald
pymc.Weibull
Discrete
pymc.Bernoulli
pymc.BetaBinomial
pymc.Binomial
pymc.Categorical
pymc.DiscreteUniform
pymc.DiscreteWeibull
pymc.Geometric
pymc.HyperGeometric
pymc.NegativeBinomial
pymc.OrderedLogistic
pymc.OrderedProbit
pymc.Poisson
Multivariate
pymc.CAR
pymc.Dirichlet
pymc.DirichletMultinomial
pymc.ICAR
pymc.KroneckerNormal
pymc.LKJCholeskyCov
pymc.LKJCorr
pymc.MatrixNormal
pymc.Multinomial
pymc.MvNormal
pymc.MvStudentT
pymc.OrderedMultinomial
pymc.StickBreakingWeights
pymc.Wishart
pymc.WishartBartlett
pymc.ZeroSumNormal
Mixture
pymc.Mixture
pymc.NormalMixture
pymc.ZeroInflatedBinomial
pymc.ZeroInflatedNegativeBinomial
pymc.ZeroInflatedPoisson
pymc.HurdlePoisson
pymc.HurdleNegativeBinomial
pymc.HurdleGamma
pymc.HurdleLogNormal
Timeseries
pymc.AR
pymc.EulerMaruyama
pymc.GARCH11
pymc.GaussianRandomWalk
pymc.MvGaussianRandomWalk
pymc.MvStudentTRandomWalk
Truncated
Censored
CustomDist
Simulator
Transformations
pymc.distributions.transforms.circular
pymc.distributions.transforms.log
pymc.distributions.transforms.log_exp_m1
pymc.distributions.transforms.logodds
pymc.distributions.transforms.ordered
pymc.distributions.transforms.simplex
pymc.distributions.transforms.CholeskyCovPacked
pymc.distributions.transforms.CircularTransform
pymc.distributions.transforms.Interval
pymc.distributions.transforms.LogExpM1
pymc.distributions.transforms.LogOddsTransform
pymc.distributions.transforms.LogTransform
pymc.distributions.transforms.Ordered
pymc.distributions.transforms.SimplexTransform
pymc.distributions.transforms.ZeroSumTransform
pymc.distributions.transforms.Chain
Distribution utilities
pymc.Continuous
pymc.Discrete
pymc.Distribution
pymc.SymbolicRandomVariable
pymc.DiracDelta
Gaussian Processes
Implementations
pymc.gp.HSGP
pymc.gp.HSGPPeriodic
pymc.gp.Latent
pymc.gp.LatentKron
pymc.gp.Marginal
pymc.gp.MarginalKron
pymc.gp.MarginalApprox
pymc.gp.TP
Mean Functions
pymc.gp.mean.Zero
pymc.gp.mean.Constant
pymc.gp.mean.Linear
Covariance Functions
pymc.gp.cov.Constant
pymc.gp.cov.WhiteNoise
pymc.gp.cov.ExpQuad
pymc.gp.cov.RatQuad
pymc.gp.cov.Exponential
pymc.gp.cov.Matern52
pymc.gp.cov.Matern32
pymc.gp.cov.Linear
pymc.gp.cov.Polynomial
pymc.gp.cov.Cosine
pymc.gp.cov.Periodic
pymc.gp.cov.WarpedInput
pymc.gp.cov.Gibbs
pymc.gp.cov.Coregion
pymc.gp.cov.ScaledCov
pymc.gp.cov.Kron
GP Utilities
pymc.gp.util.plot_gp_dist
Model
Model creation and inspection
pymc.model.core.Model
pymc.model.core.modelcontext
Model Conditioning
pymc.model.transform.conditioning.do
pymc.model.transform.conditioning.observe
pymc.model.transform.conditioning.change_value_transforms
pymc.model.transform.conditioning.remove_value_transforms
Model Optimization
pymc.model.transform.optimization.freeze_dims_and_data
FunctionGraph
pymc.model.fgraph.clone_model
pymc.model.fgraph.fgraph_from_model
pymc.model.fgraph.model_from_fgraph
Samplers
pymc.sample
pymc.sample_prior_predictive
pymc.sample_posterior_predictive
pymc.draw
pymc.compute_deterministics
pymc.vectorize_over_posterior
pymc.init_nuts
pymc.sampling.jax.sample_blackjax_nuts
pymc.sampling.jax.sample_numpyro_nuts
pymc.step_methods.hmc.NUTS
pymc.step_methods.hmc.HamiltonianMC
pymc.step_methods.BinaryGibbsMetropolis
pymc.step_methods.BinaryMetropolis
pymc.step_methods.CategoricalGibbsMetropolis
pymc.step_methods.CauchyProposal
pymc.step_methods.DEMetropolis
pymc.step_methods.DEMetropolisZ
pymc.step_methods.LaplaceProposal
pymc.step_methods.Metropolis
pymc.step_methods.MultivariateNormalProposal
pymc.step_methods.NormalProposal
pymc.step_methods.PoissonProposal
pymc.step_methods.UniformProposal
pymc.step_methods.CompoundStep
pymc.step_methods.Slice
Variational Inference
pymc.ADVI
pymc.ASVGD
pymc.SVGD
pymc.FullRankADVI
pymc.fit
pymc.variational.ImplicitGradient
pymc.variational.Inference
pymc.variational.KLqp
pymc.Empirical
pymc.FullRank
pymc.MeanField
pymc.sample_approx
pymc.Group
pymc.variational.Approximation
pymc.variational.operators.KL
pymc.variational.operators.KSD
pymc.variational.Stein
pymc.adadelta
pymc.adagrad
pymc.adagrad_window
pymc.adam
pymc.adamax
pymc.apply_momentum
pymc.apply_nesterov_momentum
pymc.momentum
pymc.nesterov_momentum
pymc.norm_constraint
pymc.rmsprop
pymc.sgd
pymc.total_norm_constraint
Sequential Monte Carlo
pymc.smc.sample_smc
pymc.smc.kernels.SMC_KERNEL
pymc.smc.kernels.IMH
pymc.smc.kernels.MH
Data
pymc.Data
pymc.get_data
pymc.Minibatch
Ordinary differential equations (ODEs)
pymc.ode.DifferentialEquation
Probability
pymc.logp
pymc.logcdf
pymc.icdf
pymc.logprob.conditional_logp
pymc.logprob.transformed_conditional_logp
Stats
pymc.stats.compute_log_prior
pymc.stats.compute_log_likelihood
Tuning
pymc.find_hessian
pymc.find_MAP
Math
PyTensor utils
pymc.pytensorf.compile
pymc.pytensorf.gradient
pymc.pytensorf.hessian
pymc.pytensorf.hessian_diag
pymc.pytensorf.jacobian
pymc.pytensorf.inputvars
pymc.pytensorf.cont_inputs
pymc.pytensorf.floatX
pymc.pytensorf.intX
pymc.pytensorf.constant_fold
pymc.pytensorf.CallableTensor
pymc.pytensorf.join_nonshared_inputs
pymc.pytensorf.make_shared_replacements
pymc.pytensorf.convert_data
shape_utils
pymc.distributions.shape_utils.to_tuple
pymc.distributions.shape_utils.rv_size_is_none
pymc.distributions.shape_utils.change_dist_size
Storage backends
pymc.to_inference_data
pymc.predictions_to_inference_data
pymc.backends.NDArray
pymc.backends.base.BaseTrace
pymc.backends.base.MultiTrace
pymc.backends.zarr.ZarrTrace
pymc.backends.zarr.ZarrChain
Other utils
pymc.find_constrained_prior
pymc.blocking.DictToArrayBijection
Testing
pymc.testing.mock_sample
pymc.testing.mock_sample_setup_and_teardown
Dims
Model constructors
pymc.dims.Data
pymc.dims.Deterministic
pymc.dims.Potential
Mathematical operations with dimensions
Distributions
pymc.dims.Flat
pymc.dims.HalfFlat
pymc.dims.Normal
pymc.dims.HalfNormal
pymc.dims.TruncatedNormal
pymc.dims.LogNormal
pymc.dims.StudentT
pymc.dims.HalfStudentT
pymc.dims.Cauchy
pymc.dims.HalfCauchy
pymc.dims.Beta
pymc.dims.Laplace
pymc.dims.Gamma
pymc.dims.InverseGamma
pymc.dims.Weibull
pymc.dims.Categorical
pymc.dims.MvNormal
pymc.dims.ZeroSumNormal
pymc.dims.Censored
Distribution Transforms
pymc.dims.transforms.LogTransform
pymc.dims.transforms.LogOddsTransform
pymc.dims.transforms.ZeroSumTransform
API
Variational Inference
pymc.variational.Approximation
pymc.variational.Approximation.__init__
pymc.variational.Approximation.__init__
#
Approximation.
__init__
(
groups
,
model
=
None
)
[source]
#
On this page
Approximation.__init__()
Show Source
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