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Tutorials
Linear regression
Parameter transformations
Location-scale regression
GEV responses
Comparing samplers
Reproducibility
PyMC and Liesel: Spike and Slab
Advanced Group Usage
API Reference
liesel.model
liesel.model.distreg
liesel.model.distreg.dist_reg_mcmc
liesel.model.distreg.tau2_gibbs_kernel
DistRegBuilder
liesel.model.goose
GooseModel
liesel.model.legacy
liesel.model.legacy.Addition
liesel.model.legacy.Bijector
liesel.model.legacy.ColumnStack
liesel.model.legacy.DesignMatrix
liesel.model.legacy.Hyperparameter
liesel.model.legacy.InverseLink
liesel.model.legacy.PIT
liesel.model.legacy.Parameter
liesel.model.legacy.Predictor
liesel.model.legacy.RegressionCoef
liesel.model.legacy.Response
liesel.model.legacy.Smooth
liesel.model.legacy.SmoothingParam
PITCalc
liesel.model.model
liesel.model.model.load_model
liesel.model.model.save_model
GraphBuilder
Model
liesel.model.nodes
liesel.model.nodes.Obs
liesel.model.nodes.Param
liesel.model.nodes.add_group
Calc
Data
Dist
Group
InputGroup
Node
NodeState
TransientCalc
TransientDist
TransientIdentity
TransientNode
Var
liesel.model.viz
liesel.model.viz.plot_nodes
liesel.model.viz.plot_vars
liesel.goose
liesel.goose.builder
EngineBuilder
liesel.goose.chain
Chain
EpochChain
EpochChainManager
ListChain
ListEpochChain
liesel.goose.da
liesel.goose.da.da_finalize
liesel.goose.da.da_init
liesel.goose.da.da_step
DAKernelState
liesel.goose.engine
liesel.goose.engine.stack_for_multi
Carry
Engine
KernelErrorLog
SamplingResult
SamplingResults
liesel.goose.epoch
EpochConfig
EpochManager
EpochState
EpochType
liesel.goose.gibbs
GibbsKernel
liesel.goose.hmc
HMCKernel
HMCKernelState
HMCTransitionInfo
liesel.goose.iwls
IWLSKernel
IWLSKernelState
liesel.goose.iwls_utils
liesel.goose.iwls_utils.mvn_log_prob
liesel.goose.iwls_utils.mvn_sample
liesel.goose.iwls_utils.solve
liesel.goose.kernel
DefaultTransitionInfo
DefaultTuningInfo
ModelMixin
TransitionMixin
TransitionOutcome
TuningMixin
TuningOutcome
WarmupOutcome
liesel.goose.kernel_sequence
KerSeqFinalizeWarmupOutput
KerSeqTransitionOutput
KerSeqTuningOutput
KernelSequence
liesel.goose.mh
liesel.goose.mh.mh_error_book
liesel.goose.mh.mh_step
liesel.goose.mh_kernel
MHKernel
MHProposal
liesel.goose.mm
liesel.goose.mm.tune_inv_mm_diag
liesel.goose.mm.tune_inv_mm_full
liesel.goose.models
DataClassModel
DictModel
liesel.goose.nuts
NUTSKernel
NUTSKernelState
NUTSTransitionInfo
liesel.goose.pytree
liesel.goose.pytree.as_strong_pytree
liesel.goose.pytree.concatenate_leaves
liesel.goose.pytree.register_dataclass_as_pytree
liesel.goose.pytree.slice_leaves
liesel.goose.pytree.split_and_transpose
liesel.goose.pytree.split_leaves
liesel.goose.pytree.squeeze_leaves
liesel.goose.pytree.stack_leaves
liesel.goose.rw
RWKernel
RWKernelState
liesel.goose.summary_m
ErrorSummary
ErrorSummaryForOneCode
Summary
liesel.goose.summary_viz
liesel.goose.summary_viz.plot_cor
liesel.goose.summary_viz.plot_density
liesel.goose.summary_viz.plot_pairs
liesel.goose.summary_viz.plot_param
liesel.goose.summary_viz.plot_scatter
liesel.goose.summary_viz.plot_trace
liesel.goose.summary_viz.save_figure
liesel.goose.types
GeneratedQuantity
Kernel
ModelInterface
QuantityGenerator
TransitionInfo
TuningInfo
liesel.goose.warmup
liesel.goose.warmup.stan_epochs
liesel.distributions
liesel.distributions.copulas
GaussianCopula
liesel.distributions.mvn_degen
MultivariateNormalDegenerate
liesel.bijectors
liesel.bijectors.algebraic_sigmoid
AlgebraicSigmoid
Experimental API
liesel.experimental
liesel.experimental.arviz
liesel.experimental.arviz.to_arviz_inference_data
liesel.experimental.pymc
PyMCInterface
.rst
.pdf
KernelErrorLog.count()
Contents
KernelErrorLog.count()
KernelErrorLog.count()
#
KernelErrorLog.
count
(
value
,
/
)
#
Return number of occurrences of value.
Contents
KernelErrorLog.count()
