All symbols in TensorFlow Probability

bookmark_border Stay organized with collections Save and categorize content based on your preferences.

Primary symbols

• tfp
• tfp.bijectors
• tfp.bijectors.AbsoluteValue
• tfp.bijectors.Ascending
• tfp.bijectors.AutoCompositeTensorBijector
• tfp.bijectors.AutoregressiveNetwork
• tfp.bijectors.BatchNormalization
• tfp.bijectors.Bijector
• tfp.bijectors.Blockwise
• tfp.bijectors.Chain
• tfp.bijectors.CholeskyOuterProduct
• tfp.bijectors.CholeskyToInvCholesky
• tfp.bijectors.Composition
• tfp.bijectors.CorrelationCholesky
• tfp.bijectors.Cumsum
• tfp.bijectors.DiscreteCosineTransform
• tfp.bijectors.Exp
• tfp.bijectors.Expm1
• tfp.bijectors.FFJORD
• tfp.bijectors.FillScaleTriL
• tfp.bijectors.FillTriangular
• tfp.bijectors.FrechetCDF
• tfp.bijectors.GeneralizedExtremeValueCDF
• tfp.bijectors.GeneralizedPareto
• tfp.bijectors.Glow
• tfp.bijectors.GlowDefaultExitNetwork
• tfp.bijectors.GlowDefaultNetwork
• tfp.bijectors.GompertzCDF
• tfp.bijectors.GumbelCDF
• tfp.bijectors.Householder
• tfp.bijectors.Identity
• tfp.bijectors.Inline
• tfp.bijectors.Invert
• tfp.bijectors.IteratedSigmoidCentered
• tfp.bijectors.JointMap
• tfp.bijectors.KumaraswamyCDF
• tfp.bijectors.LambertWTail
• tfp.bijectors.Log
• tfp.bijectors.Log1p
• tfp.bijectors.MaskedAutoregressiveFlow
• tfp.bijectors.MatrixInverseTriL
• tfp.bijectors.MatvecLU
• tfp.bijectors.MoyalCDF
• tfp.bijectors.NormalCDF
• tfp.bijectors.Pad
• tfp.bijectors.Permute
• tfp.bijectors.Power
• tfp.bijectors.PowerTransform
• tfp.bijectors.RationalQuadraticSpline
• tfp.bijectors.RayleighCDF
• tfp.bijectors.RealNVP
• tfp.bijectors.Reciprocal
• tfp.bijectors.Reshape
• tfp.bijectors.Restructure
• tfp.bijectors.Scale
• tfp.bijectors.ScaleMatvecDiag
• tfp.bijectors.ScaleMatvecLU
• tfp.bijectors.ScaleMatvecLinearOperator
• tfp.bijectors.ScaleMatvecLinearOperatorBlock
• tfp.bijectors.ScaleMatvecTriL
• tfp.bijectors.Shift
• tfp.bijectors.ShiftedGompertzCDF
• tfp.bijectors.Sigmoid
• tfp.bijectors.Sinh
• tfp.bijectors.SinhArcsinh
• tfp.bijectors.SoftClip
• tfp.bijectors.Softfloor
• tfp.bijectors.SoftmaxCentered
• tfp.bijectors.Softplus
• tfp.bijectors.Softsign
• tfp.bijectors.Split
• tfp.bijectors.Square
• tfp.bijectors.Tanh
• tfp.bijectors.TransformDiagonal
• tfp.bijectors.Transpose
• tfp.bijectors.UnitVector
• tfp.bijectors.WeibullCDF
• tfp.bijectors.masked_autoregressive_default_template
• tfp.bijectors.masked_dense
• tfp.bijectors.pack_sequence_as
• tfp.bijectors.real_nvp_default_template
• tfp.bijectors.tree_flatten
• tfp.debugging
• tfp.debugging.benchmarking
• tfp.debugging.benchmarking.BenchmarkTfFunctionConfig
• tfp.debugging.benchmarking.benchmark_tf_function
• tfp.debugging.benchmarking.default_benchmark_config
• tfp.distributions
• tfp.distributions.AutoCompositeTensorDistribution
• tfp.distributions.Autoregressive
• tfp.distributions.BatchBroadcast
• tfp.distributions.BatchReshape
• tfp.distributions.Bates
• tfp.distributions.Bernoulli
• tfp.distributions.Beta
• tfp.distributions.BetaBinomial
• tfp.distributions.BetaQuotient
• tfp.distributions.Binomial
• tfp.distributions.Blockwise
• tfp.distributions.Categorical
• tfp.distributions.Cauchy
• tfp.distributions.Chi
• tfp.distributions.Chi2
• tfp.distributions.CholeskyLKJ
• tfp.distributions.DeterminantalPointProcess
• tfp.distributions.Deterministic
• tfp.distributions.Dirichlet
• tfp.distributions.DirichletMultinomial
• tfp.distributions.Distribution
• tfp.distributions.DoublesidedMaxwell
• tfp.distributions.Empirical
• tfp.distributions.ExpGamma
• tfp.distributions.ExpInverseGamma
• tfp.distributions.ExpRelaxedOneHotCategorical
• tfp.distributions.Exponential
• tfp.distributions.ExponentiallyModifiedGaussian
• tfp.distributions.FiniteDiscrete
• tfp.distributions.Gamma
• tfp.distributions.GammaGamma
• tfp.distributions.GaussianProcess
• tfp.distributions.GaussianProcessRegressionModel
• tfp.distributions.GeneralizedExtremeValue
• tfp.distributions.GeneralizedNormal
• tfp.distributions.GeneralizedPareto
• tfp.distributions.Geometric
• tfp.distributions.Gumbel
• tfp.distributions.HalfCauchy
• tfp.distributions.HalfNormal
• tfp.distributions.HalfStudentT
• tfp.distributions.HiddenMarkovModel
• tfp.distributions.Horseshoe
• tfp.distributions.Independent
• tfp.distributions.Inflated
• tfp.distributions.InverseGamma
• tfp.distributions.InverseGaussian
• tfp.distributions.JohnsonSU
• tfp.distributions.JointDistribution
• tfp.distributions.JointDistribution.Root
• tfp.distributions.JointDistributionCoroutine
• tfp.distributions.JointDistributionCoroutine.Root
• tfp.distributions.JointDistributionCoroutineAutoBatched
• tfp.distributions.JointDistributionCoroutineAutoBatched.Root
• tfp.distributions.JointDistributionNamed
• tfp.distributions.JointDistributionNamed.Root
• tfp.distributions.JointDistributionNamedAutoBatched
• tfp.distributions.JointDistributionNamedAutoBatched.Root
• tfp.distributions.JointDistributionSequential
• tfp.distributions.JointDistributionSequential.Root
• tfp.distributions.JointDistributionSequentialAutoBatched
• tfp.distributions.JointDistributionSequentialAutoBatched.Root
• tfp.distributions.Kumaraswamy
• tfp.distributions.LKJ
• tfp.distributions.LambertWDistribution
• tfp.distributions.LambertWNormal
• tfp.distributions.Laplace
• tfp.distributions.LinearGaussianStateSpaceModel
• tfp.distributions.LogLogistic
• tfp.distributions.LogNormal
• tfp.distributions.Logistic
• tfp.distributions.LogitNormal
• tfp.distributions.MarkovChain
• tfp.distributions.Masked
• tfp.distributions.MatrixNormalLinearOperator
• tfp.distributions.MatrixTLinearOperator
• tfp.distributions.Mixture
• tfp.distributions.MixtureSameFamily
• tfp.distributions.Moyal
• tfp.distributions.Multinomial
• tfp.distributions.MultivariateNormalDiag
• tfp.distributions.MultivariateNormalDiagPlusLowRank
• tfp.distributions.MultivariateNormalDiagPlusLowRankCovariance
• tfp.distributions.MultivariateNormalFullCovariance
• tfp.distributions.MultivariateNormalLinearOperator
• tfp.distributions.MultivariateNormalTriL
• tfp.distributions.MultivariateStudentTLinearOperator
• tfp.distributions.NegativeBinomial
• tfp.distributions.NoncentralChi2
• tfp.distributions.Normal
• tfp.distributions.NormalInverseGaussian
• tfp.distributions.OneHotCategorical
• tfp.distributions.OrderedLogistic
• tfp.distributions.PERT
• tfp.distributions.Pareto
• tfp.distributions.PixelCNN
• tfp.distributions.PlackettLuce
• tfp.distributions.Poisson
• tfp.distributions.PoissonLogNormalQuadratureCompound
• tfp.distributions.PowerSpherical
• tfp.distributions.ProbitBernoulli
• tfp.distributions.QuantizedDistribution
• tfp.distributions.RegisterKL
• tfp.distributions.RelaxedBernoulli
• tfp.distributions.RelaxedOneHotCategorical
• tfp.distributions.ReparameterizationType
• tfp.distributions.Sample
• tfp.distributions.SigmoidBeta
• tfp.distributions.SinhArcsinh
• tfp.distributions.Skellam
• tfp.distributions.SphericalUniform
• tfp.distributions.StoppingRatioLogistic
• tfp.distributions.StudentT
• tfp.distributions.StudentTProcess
• tfp.distributions.StudentTProcessRegressionModel
• tfp.distributions.TransformedDistribution
• tfp.distributions.Triangular
• tfp.distributions.TruncatedCauchy
• tfp.distributions.TruncatedNormal
• tfp.distributions.TwoPieceNormal
• tfp.distributions.TwoPieceStudentT
• tfp.distributions.Uniform
• tfp.distributions.VariationalGaussianProcess
• tfp.distributions.VectorDeterministic
• tfp.distributions.VonMises
• tfp.distributions.VonMisesFisher
• tfp.distributions.Weibull
• tfp.distributions.WishartLinearOperator
• tfp.distributions.WishartTriL
• tfp.distributions.ZeroInflatedNegativeBinomial
• tfp.distributions.Zipf
• tfp.distributions.independent_joint_distribution_from_structure
• tfp.distributions.kl_divergence
• tfp.distributions.mvn_conjugate_linear_update
• tfp.distributions.normal_conjugates_known_scale_posterior
• tfp.distributions.normal_conjugates_known_scale_predictive
• tfp.distributions.quadrature_scheme_lognormal_gauss_hermite
• tfp.distributions.quadrature_scheme_lognormal_quantiles
• tfp.experimental
• tfp.experimental.AutoCompositeTensor
• tfp.experimental.as_composite
• tfp.experimental.auto_batching
• tfp.experimental.auto_batching.Context
• tfp.experimental.auto_batching.NumpyBackend
• tfp.experimental.auto_batching.TensorFlowBackend
• tfp.experimental.auto_batching.TensorType
• tfp.experimental.auto_batching.Type
• tfp.experimental.auto_batching.allocation_strategy
• tfp.experimental.auto_batching.allocation_strategy.optimize
• tfp.experimental.auto_batching.dsl
• tfp.experimental.auto_batching.dsl.ProgramBuilder
• tfp.experimental.auto_batching.frontend
• tfp.experimental.auto_batching.frontend.Context
• tfp.experimental.auto_batching.frontend.ab_type_inference
• tfp.experimental.auto_batching.frontend.ab_type_inference.infer_types
• tfp.experimental.auto_batching.frontend.ab_type_inference.infer_types_from_signature
• tfp.experimental.auto_batching.frontend.ab_type_inference.is_inferring
• tfp.experimental.auto_batching.frontend.ab_type_inference.signature
• tfp.experimental.auto_batching.frontend.ab_type_inference.type_of_pattern
• tfp.experimental.auto_batching.frontend.allocation_strategy
• tfp.experimental.auto_batching.frontend.allocation_strategy.optimize
• tfp.experimental.auto_batching.frontend.dsl
• tfp.experimental.auto_batching.frontend.dsl.ProgramBuilder
• tfp.experimental.auto_batching.frontend.gast_util
• tfp.experimental.auto_batching.frontend.gast_util.Module
• tfp.experimental.auto_batching.frontend.gast_util.Name
• tfp.experimental.auto_batching.frontend.gast_util.Str
• tfp.experimental.auto_batching.frontend.gast_util.is_constant
• tfp.experimental.auto_batching.frontend.gast_util.is_ellipsis
• tfp.experimental.auto_batching.frontend.gast_util.is_literal
• tfp.experimental.auto_batching.frontend.instructions
• tfp.experimental.auto_batching.frontend.instructions.Block
• tfp.experimental.auto_batching.frontend.instructions.BranchOp
• tfp.experimental.auto_batching.frontend.instructions.ControlFlowGraph
• tfp.experimental.auto_batching.frontend.instructions.Function
• tfp.experimental.auto_batching.frontend.instructions.FunctionCallOp
• tfp.experimental.auto_batching.frontend.instructions.GotoOp
• tfp.experimental.auto_batching.frontend.instructions.IndirectGotoOp
• tfp.experimental.auto_batching.frontend.instructions.PopOp
• tfp.experimental.auto_batching.frontend.instructions.PrimOp
• tfp.experimental.auto_batching.frontend.instructions.Program
• tfp.experimental.auto_batching.frontend.instructions.PushGotoOp
• tfp.experimental.auto_batching.frontend.instructions.TensorType
• tfp.experimental.auto_batching.frontend.instructions.Type
• tfp.experimental.auto_batching.frontend.instructions.VariableAllocation
• tfp.experimental.auto_batching.frontend.instructions.extract_referenced_variables
• tfp.experimental.auto_batching.frontend.instructions.halt_op
• tfp.experimental.auto_batching.frontend.instructions.interpret
• tfp.experimental.auto_batching.frontend.instructions.push_op
• tfp.experimental.auto_batching.frontend.lowering
• tfp.experimental.auto_batching.frontend.lowering.lower_function_calls
• tfp.experimental.auto_batching.frontend.st
• tfp.experimental.auto_batching.frontend.st.ExecutionQueue
• tfp.experimental.auto_batching.frontend.st.execute
• tfp.experimental.auto_batching.frontend.st.inst
• tfp.experimental.auto_batching.frontend.st.inst.Block
• tfp.experimental.auto_batching.frontend.st.inst.BranchOp
• tfp.experimental.auto_batching.frontend.st.inst.ControlFlowGraph
• tfp.experimental.auto_batching.frontend.st.inst.Function
• tfp.experimental.auto_batching.frontend.st.inst.FunctionCallOp
• tfp.experimental.auto_batching.frontend.st.inst.GotoOp
• tfp.experimental.auto_batching.frontend.st.inst.IndirectGotoOp
• tfp.experimental.auto_batching.frontend.st.inst.PopOp
• tfp.experimental.auto_batching.frontend.st.inst.PrimOp
• tfp.experimental.auto_batching.frontend.st.inst.Program
• tfp.experimental.auto_batching.frontend.st.inst.PushGotoOp
• tfp.experimental.auto_batching.frontend.st.inst.TensorType
• tfp.experimental.auto_batching.frontend.st.inst.Type
• tfp.experimental.auto_batching.frontend.st.inst.VariableAllocation
• tfp.experimental.auto_batching.frontend.st.inst.extract_referenced_variables
• tfp.experimental.auto_batching.frontend.st.inst.halt_op
• tfp.experimental.auto_batching.frontend.st.inst.interpret
• tfp.experimental.auto_batching.frontend.st.inst.push_op
• tfp.experimental.auto_batching.frontend.st.is_running
• tfp.experimental.auto_batching.frontend.stack
• tfp.experimental.auto_batching.frontend.stack.fuse_pop_push
• tfp.experimental.auto_batching.frontend.stack.inst
• tfp.experimental.auto_batching.frontend.stack.inst.Block
• tfp.experimental.auto_batching.frontend.stack.inst.BranchOp
• tfp.experimental.auto_batching.frontend.stack.inst.ControlFlowGraph
• tfp.experimental.auto_batching.frontend.stack.inst.Function
• tfp.experimental.auto_batching.frontend.stack.inst.FunctionCallOp
• tfp.experimental.auto_batching.frontend.stack.inst.GotoOp
• tfp.experimental.auto_batching.frontend.stack.inst.IndirectGotoOp
• tfp.experimental.auto_batching.frontend.stack.inst.PopOp
• tfp.experimental.auto_batching.frontend.stack.inst.PrimOp
• tfp.experimental.auto_batching.frontend.stack.inst.Program
• tfp.experimental.auto_batching.frontend.stack.inst.PushGotoOp
• tfp.experimental.auto_batching.frontend.stack.inst.TensorType
• tfp.experimental.auto_batching.frontend.stack.inst.Type
• tfp.experimental.auto_batching.frontend.stack.inst.VariableAllocation
• tfp.experimental.auto_batching.frontend.stack.inst.extract_referenced_variables
• tfp.experimental.auto_batching.frontend.stack.inst.halt_op
• tfp.experimental.auto_batching.frontend.stack.inst.interpret
• tfp.experimental.auto_batching.frontend.stack.inst.push_op
• tfp.experimental.auto_batching.frontend.tf_backend
• tfp.experimental.auto_batching.frontend.tf_backend.TensorFlowBackend
• tfp.experimental.auto_batching.frontend.truthy
• tfp.experimental.auto_batching.frontend.vm
• tfp.experimental.auto_batching.frontend.vm.execute
• tfp.experimental.auto_batching.frontend.vm.is_staging
• tfp.experimental.auto_batching.instructions
• tfp.experimental.auto_batching.instructions.Block
• tfp.experimental.auto_batching.instructions.BranchOp
• tfp.experimental.auto_batching.instructions.ControlFlowGraph
• tfp.experimental.auto_batching.instructions.Function
• tfp.experimental.auto_batching.instructions.FunctionCallOp
• tfp.experimental.auto_batching.instructions.GotoOp
• tfp.experimental.auto_batching.instructions.IndirectGotoOp
• tfp.experimental.auto_batching.instructions.PopOp
• tfp.experimental.auto_batching.instructions.PrimOp
• tfp.experimental.auto_batching.instructions.Program
• tfp.experimental.auto_batching.instructions.PushGotoOp
• tfp.experimental.auto_batching.instructions.TensorType
• tfp.experimental.auto_batching.instructions.Type
• tfp.experimental.auto_batching.instructions.VariableAllocation
• tfp.experimental.auto_batching.instructions.extract_referenced_variables
• tfp.experimental.auto_batching.instructions.halt_op
• tfp.experimental.auto_batching.instructions.interpret
• tfp.experimental.auto_batching.instructions.push_op
• tfp.experimental.auto_batching.liveness
• tfp.experimental.auto_batching.liveness.liveness_analysis
• tfp.experimental.auto_batching.lowering
• tfp.experimental.auto_batching.lowering.lower_function_calls
• tfp.experimental.auto_batching.numpy_backend
• tfp.experimental.auto_batching.numpy_backend.NumpyBackend
• tfp.experimental.auto_batching.stack_optimization
• tfp.experimental.auto_batching.stack_optimization.fuse_pop_push
• tfp.experimental.auto_batching.stack_optimization.inst
• tfp.experimental.auto_batching.stack_optimization.inst.Block
• tfp.experimental.auto_batching.stack_optimization.inst.BranchOp
• tfp.experimental.auto_batching.stack_optimization.inst.ControlFlowGraph
• tfp.experimental.auto_batching.stack_optimization.inst.Function
• tfp.experimental.auto_batching.stack_optimization.inst.FunctionCallOp
• tfp.experimental.auto_batching.stack_optimization.inst.GotoOp
• tfp.experimental.auto_batching.stack_optimization.inst.IndirectGotoOp
• tfp.experimental.auto_batching.stack_optimization.inst.PopOp
• tfp.experimental.auto_batching.stack_optimization.inst.PrimOp
• tfp.experimental.auto_batching.stack_optimization.inst.Program
• tfp.experimental.auto_batching.stack_optimization.inst.PushGotoOp
• tfp.experimental.auto_batching.stack_optimization.inst.TensorType
• tfp.experimental.auto_batching.stack_optimization.inst.Type
• tfp.experimental.auto_batching.stack_optimization.inst.VariableAllocation
• tfp.experimental.auto_batching.stack_optimization.inst.extract_referenced_variables
• tfp.experimental.auto_batching.stack_optimization.inst.halt_op
• tfp.experimental.auto_batching.stack_optimization.inst.interpret
• tfp.experimental.auto_batching.stack_optimization.inst.push_op
• tfp.experimental.auto_batching.stackless
• tfp.experimental.auto_batching.stackless.ExecutionQueue
• tfp.experimental.auto_batching.stackless.execute
• tfp.experimental.auto_batching.stackless.inst
• tfp.experimental.auto_batching.stackless.inst.Block
• tfp.experimental.auto_batching.stackless.inst.BranchOp
• tfp.experimental.auto_batching.stackless.inst.ControlFlowGraph
• tfp.experimental.auto_batching.stackless.inst.Function
• tfp.experimental.auto_batching.stackless.inst.FunctionCallOp
• tfp.experimental.auto_batching.stackless.inst.GotoOp
• tfp.experimental.auto_batching.stackless.inst.IndirectGotoOp
• tfp.experimental.auto_batching.stackless.inst.PopOp
• tfp.experimental.auto_batching.stackless.inst.PrimOp
• tfp.experimental.auto_batching.stackless.inst.Program
• tfp.experimental.auto_batching.stackless.inst.PushGotoOp
• tfp.experimental.auto_batching.stackless.inst.TensorType
• tfp.experimental.auto_batching.stackless.inst.Type
• tfp.experimental.auto_batching.stackless.inst.VariableAllocation
• tfp.experimental.auto_batching.stackless.inst.extract_referenced_variables
• tfp.experimental.auto_batching.stackless.inst.halt_op
• tfp.experimental.auto_batching.stackless.inst.interpret
• tfp.experimental.auto_batching.stackless.inst.push_op
• tfp.experimental.auto_batching.stackless.is_running
• tfp.experimental.auto_batching.tf_backend
• tfp.experimental.auto_batching.tf_backend.TensorFlowBackend
• tfp.experimental.auto_batching.truthy
• tfp.experimental.auto_batching.type_inference
• tfp.experimental.auto_batching.type_inference.infer_types
• tfp.experimental.auto_batching.type_inference.infer_types_from_signature
• tfp.experimental.auto_batching.type_inference.is_inferring
• tfp.experimental.auto_batching.type_inference.signature
• tfp.experimental.auto_batching.type_inference.type_of_pattern
• tfp.experimental.auto_batching.virtual_machine
• tfp.experimental.auto_batching.virtual_machine.execute
• tfp.experimental.auto_batching.virtual_machine.is_staging
• tfp.experimental.auto_batching.xla
• tfp.experimental.auto_batching.xla.compile_nested_output
• tfp.experimental.auto_composite_tensor
• tfp.experimental.bayesopt
• tfp.experimental.bayesopt.acquisition
• tfp.experimental.bayesopt.acquisition.AcquisitionFunction
• tfp.experimental.bayesopt.acquisition.GaussianProcessExpectedImprovement
• tfp.experimental.bayesopt.acquisition.GaussianProcessMaxValueEntropySearch
• tfp.experimental.bayesopt.acquisition.GaussianProcessProbabilityOfImprovement
• tfp.experimental.bayesopt.acquisition.GaussianProcessUpperConfidenceBound
• tfp.experimental.bayesopt.acquisition.MCMCReducer
• tfp.experimental.bayesopt.acquisition.ParallelExpectedImprovement
• tfp.experimental.bayesopt.acquisition.ParallelProbabilityOfImprovement
• tfp.experimental.bayesopt.acquisition.ParallelUpperConfidenceBound
• tfp.experimental.bayesopt.acquisition.StudentTProcessExpectedImprovement
• tfp.experimental.bayesopt.acquisition.WeightedPowerScalarization
• tfp.experimental.bijectors
• tfp.experimental.bijectors.HighwayFlow
• tfp.experimental.bijectors.ScalarFunctionWithInferredInverse
• tfp.experimental.bijectors.Sharded
• tfp.experimental.bijectors.build_trainable_highway_flow
• tfp.experimental.bijectors.forward_log_det_jacobian_ratio
• tfp.experimental.bijectors.inverse_log_det_jacobian_ratio
• tfp.experimental.bijectors.make_distribution_bijector
• tfp.experimental.distribute
• tfp.experimental.distribute.JointDistributionCoroutine
• tfp.experimental.distribute.JointDistributionCoroutine.Root
• tfp.experimental.distribute.JointDistributionNamed
• tfp.experimental.distribute.JointDistributionNamed.Root
• tfp.experimental.distribute.JointDistributionSequential
• tfp.experimental.distribute.JointDistributionSequential.Root
• tfp.experimental.distribute.Sharded
• tfp.experimental.distribute.make_pbroadcast_function
• tfp.experimental.distribute.make_psum_function
• tfp.experimental.distribute.make_sharded_log_prob_parts
• tfp.experimental.distributions
• tfp.experimental.distributions.ImportanceResample
• tfp.experimental.distributions.IncrementLogProb
• tfp.experimental.distributions.JointDistributionPinned
• tfp.experimental.distributions.MultiTaskGaussianProcess
• tfp.experimental.distributions.MultiTaskGaussianProcessRegressionModel
• tfp.experimental.distributions.MultivariateNormalPrecisionFactorLinearOperator
• tfp.experimental.distributions.inflated_factory
• tfp.experimental.distributions.log_prob_ratio
• tfp.experimental.distributions.marginal_fns
• tfp.experimental.distributions.marginal_fns.make_backoff_cholesky
• tfp.experimental.distributions.marginal_fns.make_cholesky_like_marginal_fn
• tfp.experimental.distributions.marginal_fns.make_eigh_marginal_fn
• tfp.experimental.distributions.marginal_fns.mvn_linear_operator
• tfp.experimental.distributions.marginal_fns.mvn_linear_operator.MultivariateNormalLinearOperator
• tfp.experimental.distributions.marginal_fns.ps
• tfp.experimental.distributions.marginal_fns.ps.abs
• tfp.experimental.distributions.marginal_fns.ps.add
• tfp.experimental.distributions.marginal_fns.ps.argmax
• tfp.experimental.distributions.marginal_fns.ps.argmin
• tfp.experimental.distributions.marginal_fns.ps.argsort
• tfp.experimental.distributions.marginal_fns.ps.broadcast_shape
• tfp.experimental.distributions.marginal_fns.ps.broadcast_to
• tfp.experimental.distributions.marginal_fns.ps.case
• tfp.experimental.distributions.marginal_fns.ps.cast
• tfp.experimental.distributions.marginal_fns.ps.ceil
• tfp.experimental.distributions.marginal_fns.ps.concat
• tfp.experimental.distributions.marginal_fns.ps.cond
• tfp.experimental.distributions.marginal_fns.ps.constant
• tfp.experimental.distributions.marginal_fns.ps.convert_to_shape_tensor
• tfp.experimental.distributions.marginal_fns.ps.cumprod
• tfp.experimental.distributions.marginal_fns.ps.cumsum
• tfp.experimental.distributions.marginal_fns.ps.dimension_size
• tfp.experimental.distributions.marginal_fns.ps.dtype_util
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.as_numpy_dtype
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.assert_same_float_dtype
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.base_dtype
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.base_equal
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.common_dtype
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.eps
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_bool
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_complex
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_floating
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_integer
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_numpy_compatible
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.max
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.min
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.name
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.real_dtype
• tfp.experimental.distributions.marginal_fns.ps.dtype_util.size
• tfp.experimental.distributions.marginal_fns.ps.equal
• tfp.experimental.distributions.marginal_fns.ps.expand_dims
• tfp.experimental.distributions.marginal_fns.ps.expm1
• tfp.experimental.distributions.marginal_fns.ps.eye
• tfp.experimental.distributions.marginal_fns.ps.fill
• tfp.experimental.distributions.marginal_fns.ps.floor
• tfp.experimental.distributions.marginal_fns.ps.gather
• tfp.experimental.distributions.marginal_fns.ps.greater
• tfp.experimental.distributions.marginal_fns.ps.identity
• tfp.experimental.distributions.marginal_fns.ps.invert_permutation
• tfp.experimental.distributions.marginal_fns.ps.is_finite
• tfp.experimental.distributions.marginal_fns.ps.is_inf
• tfp.experimental.distributions.marginal_fns.ps.is_nan
• tfp.experimental.distributions.marginal_fns.ps.is_numpy
• tfp.experimental.distributions.marginal_fns.ps.less
• tfp.experimental.distributions.marginal_fns.ps.linspace
• tfp.experimental.distributions.marginal_fns.ps.log
• tfp.experimental.distributions.marginal_fns.ps.log1p
• tfp.experimental.distributions.marginal_fns.ps.logical_and
• tfp.experimental.distributions.marginal_fns.ps.logical_not
• tfp.experimental.distributions.marginal_fns.ps.logical_or
• tfp.experimental.distributions.marginal_fns.ps.maximum
• tfp.experimental.distributions.marginal_fns.ps.minimum
• tfp.experimental.distributions.marginal_fns.ps.nextafter
• tfp.experimental.distributions.marginal_fns.ps.non_negative_axis
• tfp.experimental.distributions.marginal_fns.ps.not_equal
• tfp.experimental.distributions.marginal_fns.ps.one_hot
• tfp.experimental.distributions.marginal_fns.ps.ones
• tfp.experimental.distributions.marginal_fns.ps.ones_like
• tfp.experimental.distributions.marginal_fns.ps.pad
• tfp.experimental.distributions.marginal_fns.ps.pow
• tfp.experimental.distributions.marginal_fns.ps.range
• tfp.experimental.distributions.marginal_fns.ps.rank
• tfp.experimental.distributions.marginal_fns.ps.rank_from_shape
• tfp.experimental.distributions.marginal_fns.ps.reduce_all
• tfp.experimental.distributions.marginal_fns.ps.reduce_any
• tfp.experimental.distributions.marginal_fns.ps.reduce_max
• tfp.experimental.distributions.marginal_fns.ps.reduce_min
• tfp.experimental.distributions.marginal_fns.ps.reduce_prod
• tfp.experimental.distributions.marginal_fns.ps.reduce_sum
• tfp.experimental.distributions.marginal_fns.ps.repeat
• tfp.experimental.distributions.marginal_fns.ps.reshape
• tfp.experimental.distributions.marginal_fns.ps.reverse
• tfp.experimental.distributions.marginal_fns.ps.round
• tfp.experimental.distributions.marginal_fns.ps.rsqrt
• tfp.experimental.distributions.marginal_fns.ps.setdiff1d
• tfp.experimental.distributions.marginal_fns.ps.shape
• tfp.experimental.distributions.marginal_fns.ps.shape_slice
• tfp.experimental.distributions.marginal_fns.ps.size
• tfp.experimental.distributions.marginal_fns.ps.size0
• tfp.experimental.distributions.marginal_fns.ps.slice
• tfp.experimental.distributions.marginal_fns.ps.smart_where
• tfp.experimental.distributions.marginal_fns.ps.sort
• tfp.experimental.distributions.marginal_fns.ps.split
• tfp.experimental.distributions.marginal_fns.ps.sqrt
• tfp.experimental.distributions.marginal_fns.ps.stack
• tfp.experimental.distributions.marginal_fns.ps.tensor_scatter_nd_add
• tfp.experimental.distributions.marginal_fns.ps.tensor_scatter_nd_sub
• tfp.experimental.distributions.marginal_fns.ps.tensor_scatter_nd_update
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.as_list
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.assert_has_rank
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.assert_is_compatible_with
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.concatenate
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.constant_value_as_shape
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.dims
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.is_compatible_with
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.is_fully_defined
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.merge_with
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.num_elements
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.rank
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.set_shape
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.with_rank
• tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.with_rank_at_least
• tfp.experimental.distributions.marginal_fns.ps.tile
• tfp.experimental.distributions.marginal_fns.ps.top_k
• tfp.experimental.distributions.marginal_fns.ps.unique
• tfp.experimental.distributions.marginal_fns.ps.unstack
• tfp.experimental.distributions.marginal_fns.ps.where
• tfp.experimental.distributions.marginal_fns.ps.zeros
• tfp.experimental.distributions.marginal_fns.ps.zeros_like
• tfp.experimental.distributions.marginal_fns.retrying_cholesky
• tfp.experimental.distributions.marginal_fns.tfp_custom_gradient
• tfp.experimental.distributions.marginal_fns.tfp_custom_gradient.custom_gradient
• tfp.experimental.distributions.marginal_fns.tfp_custom_gradient.is_valid_gradient
• tfp.experimental.distributions.marginal_fns.tfp_custom_gradient.prevent_gradient
• tfp.experimental.joint_distribution_layers
• tfp.experimental.joint_distribution_layers.Affine
• tfp.experimental.joint_distribution_layers.Affine.Root
• tfp.experimental.joint_distribution_layers.AffineLayer
• tfp.experimental.joint_distribution_layers.Conv2D
• tfp.experimental.joint_distribution_layers.Conv2D.Root
• tfp.experimental.joint_distribution_layers.Lambda
• tfp.experimental.joint_distribution_layers.Lambda.Root
• tfp.experimental.joint_distribution_layers.Sequential
• tfp.experimental.joint_distribution_layers.Sequential.Root
• tfp.experimental.joint_distribution_layers.SequentialLayer
• tfp.experimental.joint_distribution_layers.make_conv2d_layer_class
• tfp.experimental.joint_distribution_layers.make_lambda_layer_class
• tfp.experimental.linalg
• tfp.experimental.linalg.LinearOperatorInterpolatedPSDKernel
• tfp.experimental.linalg.LinearOperatorPSDKernel
• tfp.experimental.linalg.LinearOperatorRowBlock
• tfp.experimental.linalg.LinearOperatorUnitary
• tfp.experimental.linalg.no_pivot_ldl
• tfp.experimental.linalg.simple_robustified_cholesky
• tfp.experimental.marginalize
• tfp.experimental.marginalize.MarginalizableJointDistributionCoroutine
• tfp.experimental.marginalize.MarginalizableJointDistributionCoroutine.Root
• tfp.experimental.marginalize.logeinsumexp
• tfp.experimental.math
• tfp.experimental.math.exp_pade_4_4
• tfp.experimental.math.expm1_pade_4_4
• tfp.experimental.math.log1p_pade_4_4
• tfp.experimental.math.log_pade_4_4
• tfp.experimental.math.patch_manual_special_functions
• tfp.experimental.math.reduce_logsumexp
• tfp.experimental.math.softplus
• tfp.experimental.mcmc
• tfp.experimental.mcmc.CovarianceReducer
• tfp.experimental.mcmc.DiagonalMassMatrixAdaptation
• tfp.experimental.mcmc.EllipticalSliceSampler
• tfp.experimental.mcmc.ExpectationsReducer
• tfp.experimental.mcmc.GradientBasedTrajectoryLengthAdaptation
• tfp.experimental.mcmc.GradientBasedTrajectoryLengthAdaptationResults
• tfp.experimental.mcmc.KernelBuilder
• tfp.experimental.mcmc.KernelOutputs
• tfp.experimental.mcmc.NoUTurnSampler
• tfp.experimental.mcmc.PotentialScaleReductionReducer
• tfp.experimental.mcmc.PreconditionedHamiltonianMonteCarlo
• tfp.experimental.mcmc.PreconditionedNoUTurnSampler
• tfp.experimental.mcmc.ProgressBarReducer
• tfp.experimental.mcmc.Reducer
• tfp.experimental.mcmc.SNAPERHamiltonianMonteCarlo
• tfp.experimental.mcmc.SNAPERHamiltonianMonteCarloResults
• tfp.experimental.mcmc.SampleDiscardingKernel
• tfp.experimental.mcmc.SampleSNAPERHamiltonianMonteCarloResults
• tfp.experimental.mcmc.SequentialMonteCarlo
• tfp.experimental.mcmc.SequentialMonteCarloResults
• tfp.experimental.mcmc.Sharded
• tfp.experimental.mcmc.StateWithHistory
• tfp.experimental.mcmc.ThinningKernel
• tfp.experimental.mcmc.TracingReducer
• tfp.experimental.mcmc.VarianceReducer
• tfp.experimental.mcmc.WeightedParticles
• tfp.experimental.mcmc.WithReductions
• tfp.experimental.mcmc.WithReductionsKernelResults
• tfp.experimental.mcmc.augment_prior_with_state_history
• tfp.experimental.mcmc.augment_with_observation_history
• tfp.experimental.mcmc.augment_with_state_history
• tfp.experimental.mcmc.chees_criterion
• tfp.experimental.mcmc.chees_rate_criterion
• tfp.experimental.mcmc.default_make_hmc_kernel_fn
• tfp.experimental.mcmc.ess_below_threshold
• tfp.experimental.mcmc.gen_make_hmc_kernel_fn
• tfp.experimental.mcmc.gen_make_transform_hmc_kernel_fn
• tfp.experimental.mcmc.infer_trajectories
• tfp.experimental.mcmc.init_near_unconstrained_zero
• tfp.experimental.mcmc.log_ess_from_log_weights
• tfp.experimental.mcmc.make_rwmh_kernel_fn
• tfp.experimental.mcmc.make_tqdm_progress_bar_fn
• tfp.experimental.mcmc.particle_filter
• tfp.experimental.mcmc.reconstruct_trajectories
• tfp.experimental.mcmc.remc_thermodynamic_integrals
• tfp.experimental.mcmc.resample_deterministic_minimum_error
• tfp.experimental.mcmc.resample_independent
• tfp.experimental.mcmc.resample_stratified
• tfp.experimental.mcmc.resample_systematic
• tfp.experimental.mcmc.retry_init
• tfp.experimental.mcmc.sample_chain
• tfp.experimental.mcmc.sample_chain_with_burnin
• tfp.experimental.mcmc.sample_fold
• tfp.experimental.mcmc.sample_sequential_monte_carlo
• tfp.experimental.mcmc.sample_snaper_hmc
• tfp.experimental.mcmc.simple_heuristic_tuning
• tfp.experimental.mcmc.snaper_criterion
• tfp.experimental.mcmc.step_kernel
• tfp.experimental.mcmc.windowed_adaptive_hmc
• tfp.experimental.mcmc.windowed_adaptive_nuts
• tfp.experimental.nn
• tfp.experimental.nn.Affine
• tfp.experimental.nn.AffineVariationalFlipout
• tfp.experimental.nn.AffineVariationalReparameterization
• tfp.experimental.nn.AffineVariationalReparameterizationLocal
• tfp.experimental.nn.Convolution
• tfp.experimental.nn.ConvolutionTranspose
• tfp.experimental.nn.ConvolutionTransposeVariationalFlipout
• tfp.experimental.nn.ConvolutionTransposeVariationalReparameterization
• tfp.experimental.nn.ConvolutionV2
• tfp.experimental.nn.ConvolutionVariationalFlipout
• tfp.experimental.nn.ConvolutionVariationalFlipoutV2
• tfp.experimental.nn.ConvolutionVariationalReparameterization
• tfp.experimental.nn.ConvolutionVariationalReparameterizationV2
• tfp.experimental.nn.Layer
• tfp.experimental.nn.Sequential
• tfp.experimental.nn.VariationalLayer
• tfp.experimental.nn.initializers
• tfp.experimental.nn.initializers.glorot_normal
• tfp.experimental.nn.initializers.glorot_uniform
• tfp.experimental.nn.initializers.he_normal
• tfp.experimental.nn.initializers.he_uniform
• tfp.experimental.nn.losses
• tfp.experimental.nn.losses.compute_extra_loss
• tfp.experimental.nn.losses.kl_divergence_exact
• tfp.experimental.nn.losses.kl_divergence_monte_carlo
• tfp.experimental.nn.losses.negloglik
• tfp.experimental.nn.util
• tfp.experimental.nn.util.CallOnce
• tfp.experimental.nn.util.RandomVariable
• tfp.experimental.nn.util.batchify_op
• tfp.experimental.nn.util.display_imgs
• tfp.experimental.nn.util.expand_dims
• tfp.experimental.nn.util.flatten_rightmost
• tfp.experimental.nn.util.halflife_decay
• tfp.experimental.nn.util.im2row
• tfp.experimental.nn.util.im2row_index
• tfp.experimental.nn.util.make_convolution_fn
• tfp.experimental.nn.util.make_convolution_transpose_fn_with_dilation
• tfp.experimental.nn.util.make_convolution_transpose_fn_with_subkernels
• tfp.experimental.nn.util.make_convolution_transpose_fn_with_subkernels_matrix
• tfp.experimental.nn.util.make_fit_op
• tfp.experimental.nn.util.make_kernel_bias
• tfp.experimental.nn.util.make_kernel_bias_posterior_mvn_diag
• tfp.experimental.nn.util.make_kernel_bias_prior_spike_and_slab
• tfp.experimental.nn.util.prepare_conv_args
• tfp.experimental.nn.util.prepare_tuple_argument
• tfp.experimental.nn.util.tfcompile
• tfp.experimental.nn.util.trace
• tfp.experimental.nn.util.tune_dataset
• tfp.experimental.nn.util.variables_load
• tfp.experimental.nn.util.variables_save
• tfp.experimental.nn.util.variables_summary
• tfp.experimental.parallel_filter
• tfp.experimental.parallel_filter.kalman_filter
• tfp.experimental.parallel_filter.sample_walk
• tfp.experimental.psd_kernels
• tfp.experimental.psd_kernels.AdditiveKernel
• tfp.experimental.psd_kernels.ContinuousAndCategoricalValues
• tfp.experimental.psd_kernels.FeatureScaledWithCategorical
• tfp.experimental.psd_kernels.FeatureScaledWithEmbeddedCategorical
• tfp.experimental.psd_kernels.Independent
• tfp.experimental.psd_kernels.MultiTaskKernel
• tfp.experimental.psd_kernels.Separable
• tfp.experimental.register_composite
• tfp.experimental.sequential
• tfp.experimental.sequential.EnsembleKalmanFilterState
• tfp.experimental.sequential.IteratedFilter
• tfp.experimental.sequential.ensemble_adjustment_kalman_filter_update
• tfp.experimental.sequential.ensemble_kalman_filter_log_marginal_likelihood
• tfp.experimental.sequential.ensemble_kalman_filter_predict
• tfp.experimental.sequential.ensemble_kalman_filter_update
• tfp.experimental.sequential.extended_kalman_filter
• tfp.experimental.sequential.geometric_cooling_schedule
• tfp.experimental.sequential.inflate_by_scaled_identity_fn
• tfp.experimental.stats
• tfp.experimental.stats.RunningCentralMoments
• tfp.experimental.stats.RunningCovariance
• tfp.experimental.stats.RunningMean
• tfp.experimental.stats.RunningPotentialScaleReduction
• tfp.experimental.stats.RunningVariance
• tfp.experimental.sts_gibbs
• tfp.experimental.sts_gibbs.GibbsSamplerState
• tfp.experimental.sts_gibbs.build_model_for_gibbs_fitting
• tfp.experimental.sts_gibbs.fit_with_gibbs_sampling
• tfp.experimental.sts_gibbs.get_seasonal_latents_shape
• tfp.experimental.sts_gibbs.one_step_predictive
• tfp.experimental.substrates
• tfp.experimental.substrates.jax
• tfp.experimental.substrates.jax.bijectors
• tfp.experimental.substrates.jax.bijectors.AbsoluteValue
• tfp.experimental.substrates.jax.bijectors.Ascending
• tfp.experimental.substrates.jax.bijectors.AutoCompositeTensorBijector
• tfp.experimental.substrates.jax.bijectors.AutoregressiveNetwork
• tfp.experimental.substrates.jax.bijectors.Bijector
• tfp.experimental.substrates.jax.bijectors.Blockwise
• tfp.experimental.substrates.jax.bijectors.Chain
• tfp.experimental.substrates.jax.bijectors.CholeskyOuterProduct
• tfp.experimental.substrates.jax.bijectors.CholeskyToInvCholesky
• tfp.experimental.substrates.jax.bijectors.Composition
• tfp.experimental.substrates.jax.bijectors.CorrelationCholesky
• tfp.experimental.substrates.jax.bijectors.Cumsum
• tfp.experimental.substrates.jax.bijectors.Exp
• tfp.experimental.substrates.jax.bijectors.Expm1
• tfp.experimental.substrates.jax.bijectors.FFJORD
• tfp.experimental.substrates.jax.bijectors.FillScaleTriL
• tfp.experimental.substrates.jax.bijectors.FillTriangular
• tfp.experimental.substrates.jax.bijectors.FrechetCDF
• tfp.experimental.substrates.jax.bijectors.GeneralizedExtremeValueCDF
• tfp.experimental.substrates.jax.bijectors.GeneralizedPareto
• tfp.experimental.substrates.jax.bijectors.GompertzCDF
• tfp.experimental.substrates.jax.bijectors.GumbelCDF
• tfp.experimental.substrates.jax.bijectors.Householder
• tfp.experimental.substrates.jax.bijectors.Identity
• tfp.experimental.substrates.jax.bijectors.Inline
• tfp.experimental.substrates.jax.bijectors.Invert
• tfp.experimental.substrates.jax.bijectors.IteratedSigmoidCentered
• tfp.experimental.substrates.jax.bijectors.JointMap
• tfp.experimental.substrates.jax.bijectors.KumaraswamyCDF
• tfp.experimental.substrates.jax.bijectors.LambertWTail
• tfp.experimental.substrates.jax.bijectors.Log
• tfp.experimental.substrates.jax.bijectors.Log1p
• tfp.experimental.substrates.jax.bijectors.MaskedAutoregressiveFlow
• tfp.experimental.substrates.jax.bijectors.MatrixInverseTriL
• tfp.experimental.substrates.jax.bijectors.MatvecLU
• tfp.experimental.substrates.jax.bijectors.MoyalCDF
• tfp.experimental.substrates.jax.bijectors.NormalCDF
• tfp.experimental.substrates.jax.bijectors.Pad
• tfp.experimental.substrates.jax.bijectors.Permute
• tfp.experimental.substrates.jax.bijectors.Power
• tfp.experimental.substrates.jax.bijectors.PowerTransform
• tfp.experimental.substrates.jax.bijectors.RationalQuadraticSpline
• tfp.experimental.substrates.jax.bijectors.RayleighCDF
• tfp.experimental.substrates.jax.bijectors.RealNVP
• tfp.experimental.substrates.jax.bijectors.Reciprocal
• tfp.experimental.substrates.jax.bijectors.Reshape
• tfp.experimental.substrates.jax.bijectors.Restructure
• tfp.experimental.substrates.jax.bijectors.Scale
• tfp.experimental.substrates.jax.bijectors.ScaleMatvecDiag
• tfp.experimental.substrates.jax.bijectors.ScaleMatvecLU
• tfp.experimental.substrates.jax.bijectors.ScaleMatvecLinearOperator
• tfp.experimental.substrates.jax.bijectors.ScaleMatvecLinearOperatorBlock
• tfp.experimental.substrates.jax.bijectors.ScaleMatvecTriL
• tfp.experimental.substrates.jax.bijectors.Shift
• tfp.experimental.substrates.jax.bijectors.ShiftedGompertzCDF
• tfp.experimental.substrates.jax.bijectors.Sigmoid
• tfp.experimental.substrates.jax.bijectors.Sinh
• tfp.experimental.substrates.jax.bijectors.SinhArcsinh
• tfp.experimental.substrates.jax.bijectors.SoftClip
• tfp.experimental.substrates.jax.bijectors.Softfloor
• tfp.experimental.substrates.jax.bijectors.SoftmaxCentered
• tfp.experimental.substrates.jax.bijectors.Softplus
• tfp.experimental.substrates.jax.bijectors.Softsign
• tfp.experimental.substrates.jax.bijectors.Split
• tfp.experimental.substrates.jax.bijectors.Square
• tfp.experimental.substrates.jax.bijectors.Tanh
• tfp.experimental.substrates.jax.bijectors.TransformDiagonal
• tfp.experimental.substrates.jax.bijectors.Transpose
• tfp.experimental.substrates.jax.bijectors.UnitVector
• tfp.experimental.substrates.jax.bijectors.WeibullCDF
• tfp.experimental.substrates.jax.bijectors.masked_autoregressive_default_template
• tfp.experimental.substrates.jax.bijectors.masked_dense
• tfp.experimental.substrates.jax.bijectors.pack_sequence_as
• tfp.experimental.substrates.jax.bijectors.real_nvp_default_template
• tfp.experimental.substrates.jax.bijectors.tree_flatten
• tfp.experimental.substrates.jax.distributions
• tfp.experimental.substrates.jax.distributions.AutoCompositeTensorDistribution
• tfp.experimental.substrates.jax.distributions.Autoregressive
• tfp.experimental.substrates.jax.distributions.BatchBroadcast
• tfp.experimental.substrates.jax.distributions.BatchReshape
• tfp.experimental.substrates.jax.distributions.Bates
• tfp.experimental.substrates.jax.distributions.Bernoulli
• tfp.experimental.substrates.jax.distributions.Beta
• tfp.experimental.substrates.jax.distributions.BetaBinomial
• tfp.experimental.substrates.jax.distributions.BetaQuotient
• tfp.experimental.substrates.jax.distributions.Binomial
• tfp.experimental.substrates.jax.distributions.Blockwise
• tfp.experimental.substrates.jax.distributions.Categorical
• tfp.experimental.substrates.jax.distributions.Cauchy
• tfp.experimental.substrates.jax.distributions.Chi
• tfp.experimental.substrates.jax.distributions.Chi2
• tfp.experimental.substrates.jax.distributions.CholeskyLKJ
• tfp.experimental.substrates.jax.distributions.DeterminantalPointProcess
• tfp.experimental.substrates.jax.distributions.Deterministic
• tfp.experimental.substrates.jax.distributions.Dirichlet
• tfp.experimental.substrates.jax.distributions.DirichletMultinomial
• tfp.experimental.substrates.jax.distributions.Distribution
• tfp.experimental.substrates.jax.distributions.DoublesidedMaxwell
• tfp.experimental.substrates.jax.distributions.Empirical
• tfp.experimental.substrates.jax.distributions.ExpGamma
• tfp.experimental.substrates.jax.distributions.ExpInverseGamma
• tfp.experimental.substrates.jax.distributions.ExpRelaxedOneHotCategorical
• tfp.experimental.substrates.jax.distributions.Exponential
• tfp.experimental.substrates.jax.distributions.ExponentiallyModifiedGaussian
• tfp.experimental.substrates.jax.distributions.FiniteDiscrete
• tfp.experimental.substrates.jax.distributions.Gamma
• tfp.experimental.substrates.jax.distributions.GammaGamma
• tfp.experimental.substrates.jax.distributions.GaussianProcess
• tfp.experimental.substrates.jax.distributions.GaussianProcessRegressionModel
• tfp.experimental.substrates.jax.distributions.GeneralizedExtremeValue
• tfp.experimental.substrates.jax.distributions.GeneralizedNormal
• tfp.experimental.substrates.jax.distributions.GeneralizedPareto
• tfp.experimental.substrates.jax.distributions.Geometric
• tfp.experimental.substrates.jax.distributions.Gumbel
• tfp.experimental.substrates.jax.distributions.HalfCauchy
• tfp.experimental.substrates.jax.distributions.HalfNormal
• tfp.experimental.substrates.jax.distributions.HalfStudentT
• tfp.experimental.substrates.jax.distributions.HiddenMarkovModel
• tfp.experimental.substrates.jax.distributions.Horseshoe
• tfp.experimental.substrates.jax.distributions.Independent
• tfp.experimental.substrates.jax.distributions.Inflated
• tfp.experimental.substrates.jax.distributions.InverseGamma
• tfp.experimental.substrates.jax.distributions.InverseGaussian
• tfp.experimental.substrates.jax.distributions.JohnsonSU
• tfp.experimental.substrates.jax.distributions.JointDistribution
• tfp.experimental.substrates.jax.distributions.JointDistribution.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionCoroutine
• tfp.experimental.substrates.jax.distributions.JointDistributionCoroutine.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionCoroutineAutoBatched
• tfp.experimental.substrates.jax.distributions.JointDistributionCoroutineAutoBatched.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionNamed
• tfp.experimental.substrates.jax.distributions.JointDistributionNamed.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionNamedAutoBatched
• tfp.experimental.substrates.jax.distributions.JointDistributionNamedAutoBatched.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionSequential
• tfp.experimental.substrates.jax.distributions.JointDistributionSequential.Root
• tfp.experimental.substrates.jax.distributions.JointDistributionSequentialAutoBatched
• tfp.experimental.substrates.jax.distributions.JointDistributionSequentialAutoBatched.Root
• tfp.experimental.substrates.jax.distributions.Kumaraswamy
• tfp.experimental.substrates.jax.distributions.LKJ
• tfp.experimental.substrates.jax.distributions.LambertWDistribution
• tfp.experimental.substrates.jax.distributions.LambertWNormal
• tfp.experimental.substrates.jax.distributions.Laplace
• tfp.experimental.substrates.jax.distributions.LinearGaussianStateSpaceModel
• tfp.experimental.substrates.jax.distributions.LogLogistic
• tfp.experimental.substrates.jax.distributions.LogNormal
• tfp.experimental.substrates.jax.distributions.Logistic
• tfp.experimental.substrates.jax.distributions.LogitNormal
• tfp.experimental.substrates.jax.distributions.MarkovChain
• tfp.experimental.substrates.jax.distributions.Masked
• tfp.experimental.substrates.jax.distributions.MatrixNormalLinearOperator
• tfp.experimental.substrates.jax.distributions.MatrixTLinearOperator
• tfp.experimental.substrates.jax.distributions.Mixture
• tfp.experimental.substrates.jax.distributions.MixtureSameFamily
• tfp.experimental.substrates.jax.distributions.Moyal
• tfp.experimental.substrates.jax.distributions.Multinomial
• tfp.experimental.substrates.jax.distributions.MultivariateNormalDiag
• tfp.experimental.substrates.jax.distributions.MultivariateNormalDiagPlusLowRank
• tfp.experimental.substrates.jax.distributions.MultivariateNormalDiagPlusLowRankCovariance
• tfp.experimental.substrates.jax.distributions.MultivariateNormalFullCovariance
• tfp.experimental.substrates.jax.distributions.MultivariateNormalLinearOperator
• tfp.experimental.substrates.jax.distributions.MultivariateNormalTriL
• tfp.experimental.substrates.jax.distributions.MultivariateStudentTLinearOperator
• tfp.experimental.substrates.jax.distributions.NegativeBinomial
• tfp.experimental.substrates.jax.distributions.NoncentralChi2
• tfp.experimental.substrates.jax.distributions.Normal
• tfp.experimental.substrates.jax.distributions.NormalInverseGaussian
• tfp.experimental.substrates.jax.distributions.OneHotCategorical
• tfp.experimental.substrates.jax.distributions.OrderedLogistic
• tfp.experimental.substrates.jax.distributions.PERT
• tfp.experimental.substrates.jax.distributions.Pareto
• tfp.experimental.substrates.jax.distributions.PlackettLuce
• tfp.experimental.substrates.jax.distributions.Poisson
• tfp.experimental.substrates.jax.distributions.PoissonLogNormalQuadratureCompound
• tfp.experimental.substrates.jax.distributions.PowerSpherical
• tfp.experimental.substrates.jax.distributions.ProbitBernoulli
• tfp.experimental.substrates.jax.distributions.QuantizedDistribution
• tfp.experimental.substrates.jax.distributions.RegisterKL
• tfp.experimental.substrates.jax.distributions.RelaxedBernoulli
• tfp.experimental.substrates.jax.distributions.RelaxedOneHotCategorical
• tfp.experimental.substrates.jax.distributions.ReparameterizationType
• tfp.experimental.substrates.jax.distributions.Sample
• tfp.experimental.substrates.jax.distributions.SigmoidBeta
• tfp.experimental.substrates.jax.distributions.SinhArcsinh
• tfp.experimental.substrates.jax.distributions.Skellam
• tfp.experimental.substrates.jax.distributions.SphericalUniform
• tfp.experimental.substrates.jax.distributions.StoppingRatioLogistic
• tfp.experimental.substrates.jax.distributions.StudentT
• tfp.experimental.substrates.jax.distributions.StudentTProcess
• tfp.experimental.substrates.jax.distributions.StudentTProcessRegressionModel
• tfp.experimental.substrates.jax.distributions.TransformedDistribution
• tfp.experimental.substrates.jax.distributions.Triangular
• tfp.experimental.substrates.jax.distributions.TruncatedCauchy
• tfp.experimental.substrates.jax.distributions.TruncatedNormal
• tfp.experimental.substrates.jax.distributions.TwoPieceNormal
• tfp.experimental.substrates.jax.distributions.TwoPieceStudentT
• tfp.experimental.substrates.jax.distributions.Uniform
• tfp.experimental.substrates.jax.distributions.VariationalGaussianProcess
• tfp.experimental.substrates.jax.distributions.VectorDeterministic
• tfp.experimental.substrates.jax.distributions.VonMises
• tfp.experimental.substrates.jax.distributions.VonMisesFisher
• tfp.experimental.substrates.jax.distributions.Weibull
• tfp.experimental.substrates.jax.distributions.WishartLinearOperator
• tfp.experimental.substrates.jax.distributions.WishartTriL
• tfp.experimental.substrates.jax.distributions.ZeroInflatedNegativeBinomial
• tfp.experimental.substrates.jax.distributions.Zipf
• tfp.experimental.substrates.jax.distributions.independent_joint_distribution_from_structure
• tfp.experimental.substrates.jax.distributions.kl_divergence
• tfp.experimental.substrates.jax.distributions.mvn_conjugate_linear_update
• tfp.experimental.substrates.jax.distributions.normal_conjugates_known_scale_posterior
• tfp.experimental.substrates.jax.distributions.normal_conjugates_known_scale_predictive
• tfp.experimental.substrates.jax.distributions.quadrature_scheme_lognormal_gauss_hermite
• tfp.experimental.substrates.jax.distributions.quadrature_scheme_lognormal_quantiles
• tfp.experimental.substrates.jax.glm
• tfp.experimental.substrates.jax.glm.Bernoulli
• tfp.experimental.substrates.jax.glm.BernoulliNormalCDF
• tfp.experimental.substrates.jax.glm.Binomial
• tfp.experimental.substrates.jax.glm.CustomExponentialFamily
• tfp.experimental.substrates.jax.glm.ExponentialFamily
• tfp.experimental.substrates.jax.glm.GammaExp
• tfp.experimental.substrates.jax.glm.GammaSoftplus
• tfp.experimental.substrates.jax.glm.LogNormal
• tfp.experimental.substrates.jax.glm.LogNormalSoftplus
• tfp.experimental.substrates.jax.glm.NegativeBinomial
• tfp.experimental.substrates.jax.glm.NegativeBinomialSoftplus
• tfp.experimental.substrates.jax.glm.Normal
• tfp.experimental.substrates.jax.glm.NormalReciprocal
• tfp.experimental.substrates.jax.glm.Poisson
• tfp.experimental.substrates.jax.glm.PoissonSoftplus
• tfp.experimental.substrates.jax.glm.compute_predicted_linear_response
• tfp.experimental.substrates.jax.glm.convergence_criteria_small_relative_norm_weights_change
• tfp.experimental.substrates.jax.glm.fit
• tfp.experimental.substrates.jax.glm.fit_one_step
• tfp.experimental.substrates.jax.math
• tfp.experimental.substrates.jax.math.MinimizeTraceableQuantities
• tfp.experimental.substrates.jax.math.atan_difference
• tfp.experimental.substrates.jax.math.batch_interp_rectilinear_nd_grid
• tfp.experimental.substrates.jax.math.batch_interp_regular_1d_grid
• tfp.experimental.substrates.jax.math.batch_interp_regular_nd_grid
• tfp.experimental.substrates.jax.math.bessel_iv_ratio
• tfp.experimental.substrates.jax.math.bessel_ive
• tfp.experimental.substrates.jax.math.bessel_kve
• tfp.experimental.substrates.jax.math.betainc
• tfp.experimental.substrates.jax.math.betaincinv
• tfp.experimental.substrates.jax.math.bracket_root
• tfp.experimental.substrates.jax.math.cholesky_concat
• tfp.experimental.substrates.jax.math.cholesky_update
• tfp.experimental.substrates.jax.math.clip_by_value_preserve_gradient
• tfp.experimental.substrates.jax.math.custom_gradient
• tfp.experimental.substrates.jax.math.dawsn
• tfp.experimental.substrates.jax.math.diag_jacobian
• tfp.experimental.substrates.jax.math.erfcinv
• tfp.experimental.substrates.jax.math.erfcx
• tfp.experimental.substrates.jax.math.fill_triangular
• tfp.experimental.substrates.jax.math.fill_triangular_inverse
• tfp.experimental.substrates.jax.math.find_root_chandrupatla
• tfp.experimental.substrates.jax.math.find_root_secant
• tfp.experimental.substrates.jax.math.gram_schmidt
• tfp.experimental.substrates.jax.math.hpsd_logdet
• tfp.experimental.substrates.jax.math.hpsd_quadratic_form_solve
• tfp.experimental.substrates.jax.math.hpsd_quadratic_form_solvevec
• tfp.experimental.substrates.jax.math.hpsd_solve
• tfp.experimental.substrates.jax.math.hpsd_solvevec
• tfp.experimental.substrates.jax.math.hypergeometric
• tfp.experimental.substrates.jax.math.hypergeometric.hyp2f1_small_argument
• tfp.experimental.substrates.jax.math.igammacinv
• tfp.experimental.substrates.jax.math.igammainv
• tfp.experimental.substrates.jax.math.interp_regular_1d_grid
• tfp.experimental.substrates.jax.math.lambertw
• tfp.experimental.substrates.jax.math.lambertw_winitzki_approx
• tfp.experimental.substrates.jax.math.lbeta
• tfp.experimental.substrates.jax.math.log1mexp
• tfp.experimental.substrates.jax.math.log1psquare
• tfp.experimental.substrates.jax.math.log_add_exp
• tfp.experimental.substrates.jax.math.log_bessel_ive
• tfp.experimental.substrates.jax.math.log_bessel_kve
• tfp.experimental.substrates.jax.math.log_combinations
• tfp.experimental.substrates.jax.math.log_cosh
• tfp.experimental.substrates.jax.math.log_cumsum_exp
• tfp.experimental.substrates.jax.math.log_gamma_correction
• tfp.experimental.substrates.jax.math.log_gamma_difference
• tfp.experimental.substrates.jax.math.log_sub_exp
• tfp.experimental.substrates.jax.math.logerfc
• tfp.experimental.substrates.jax.math.logerfcx
• tfp.experimental.substrates.jax.math.low_rank_cholesky
• tfp.experimental.substrates.jax.math.lu_matrix_inverse
• tfp.experimental.substrates.jax.math.lu_reconstruct
• tfp.experimental.substrates.jax.math.lu_solve
• tfp.experimental.substrates.jax.math.minimize
• tfp.experimental.substrates.jax.math.minimize_stateless
• tfp.experimental.substrates.jax.math.ode
• tfp.experimental.substrates.jax.math.ode.BDF
• tfp.experimental.substrates.jax.math.ode.ChosenBySolver
• tfp.experimental.substrates.jax.math.ode.Diagnostics
• tfp.experimental.substrates.jax.math.ode.DormandPrince
• tfp.experimental.substrates.jax.math.ode.Results
• tfp.experimental.substrates.jax.math.ode.Solver
• tfp.experimental.substrates.jax.math.owens_t
• tfp.experimental.substrates.jax.math.pivoted_cholesky
• tfp.experimental.substrates.jax.math.psd_kernels
• tfp.experimental.substrates.jax.math.psd_kernels.AutoCompositeTensorPsdKernel
• tfp.experimental.substrates.jax.math.psd_kernels.ChangePoint
• tfp.experimental.substrates.jax.math.psd_kernels.Constant
• tfp.experimental.substrates.jax.math.psd_kernels.ExpSinSquared
• tfp.experimental.substrates.jax.math.psd_kernels.ExponentialCurve
• tfp.experimental.substrates.jax.math.psd_kernels.ExponentiatedQuadratic
• tfp.experimental.substrates.jax.math.psd_kernels.FeatureScaled
• tfp.experimental.substrates.jax.math.psd_kernels.FeatureTransformed
• tfp.experimental.substrates.jax.math.psd_kernels.GammaExponential
• tfp.experimental.substrates.jax.math.psd_kernels.GeneralizedMatern
• tfp.experimental.substrates.jax.math.psd_kernels.KumaraswamyTransformed
• tfp.experimental.substrates.jax.math.psd_kernels.Linear
• tfp.experimental.substrates.jax.math.psd_kernels.MaternFiveHalves
• tfp.experimental.substrates.jax.math.psd_kernels.MaternOneHalf
• tfp.experimental.substrates.jax.math.psd_kernels.MaternThreeHalves
• tfp.experimental.substrates.jax.math.psd_kernels.Parabolic
• tfp.experimental.substrates.jax.math.psd_kernels.PointwiseExponential
• tfp.experimental.substrates.jax.math.psd_kernels.Polynomial
• tfp.experimental.substrates.jax.math.psd_kernels.PositiveSemidefiniteKernel
• tfp.experimental.substrates.jax.math.psd_kernels.RationalQuadratic
• tfp.experimental.substrates.jax.math.psd_kernels.SchurComplement
• tfp.experimental.substrates.jax.math.psd_kernels.SpectralMixture
• tfp.experimental.substrates.jax.math.reduce_kahan_sum
• tfp.experimental.substrates.jax.math.reduce_log_harmonic_mean_exp
• tfp.experimental.substrates.jax.math.reduce_logmeanexp
• tfp.experimental.substrates.jax.math.reduce_weighted_logsumexp
• tfp.experimental.substrates.jax.math.round_exponential_bump_function
• tfp.experimental.substrates.jax.math.scan_associative
• tfp.experimental.substrates.jax.math.secant_root
• tfp.experimental.substrates.jax.math.smootherstep
• tfp.experimental.substrates.jax.math.soft_sorting_matrix
• tfp.experimental.substrates.jax.math.soft_threshold
• tfp.experimental.substrates.jax.math.softplus_inverse
• tfp.experimental.substrates.jax.math.sparse_or_dense_matmul
• tfp.experimental.substrates.jax.math.sparse_or_dense_matvecmul
• tfp.experimental.substrates.jax.math.sqrt1pm1
• tfp.experimental.substrates.jax.math.trapz
• tfp.experimental.substrates.jax.math.value_and_gradient
• tfp.experimental.substrates.jax.mcmc
• tfp.experimental.substrates.jax.mcmc.CheckpointableStatesAndTrace
• tfp.experimental.substrates.jax.mcmc.DualAveragingStepSizeAdaptation
• tfp.experimental.substrates.jax.mcmc.HamiltonianMonteCarlo
• tfp.experimental.substrates.jax.mcmc.MetropolisAdjustedLangevinAlgorithm
• tfp.experimental.substrates.jax.mcmc.MetropolisHastings
• tfp.experimental.substrates.jax.mcmc.NoUTurnSampler
• tfp.experimental.substrates.jax.mcmc.RandomWalkMetropolis
• tfp.experimental.substrates.jax.mcmc.ReplicaExchangeMC
• tfp.experimental.substrates.jax.mcmc.SimpleStepSizeAdaptation
• tfp.experimental.substrates.jax.mcmc.SliceSampler
• tfp.experimental.substrates.jax.mcmc.StatesAndTrace
• tfp.experimental.substrates.jax.mcmc.TransformedTransitionKernel
• tfp.experimental.substrates.jax.mcmc.TransitionKernel
• tfp.experimental.substrates.jax.mcmc.UncalibratedHamiltonianMonteCarlo
• tfp.experimental.substrates.jax.mcmc.UncalibratedLangevin
• tfp.experimental.substrates.jax.mcmc.UncalibratedRandomWalk
• tfp.experimental.substrates.jax.mcmc.default_swap_proposal_fn
• tfp.experimental.substrates.jax.mcmc.effective_sample_size
• tfp.experimental.substrates.jax.mcmc.even_odd_swap_proposal_fn
• tfp.experimental.substrates.jax.mcmc.make_simple_step_size_update_policy
• tfp.experimental.substrates.jax.mcmc.potential_scale_reduction
• tfp.experimental.substrates.jax.mcmc.random_walk_normal_fn
• tfp.experimental.substrates.jax.mcmc.random_walk_uniform_fn
• tfp.experimental.substrates.jax.mcmc.sample_annealed_importance_chain
• tfp.experimental.substrates.jax.mcmc.sample_chain
• tfp.experimental.substrates.jax.mcmc.sample_halton_sequence
• tfp.experimental.substrates.jax.monte_carlo
• tfp.experimental.substrates.jax.monte_carlo.expectation
• tfp.experimental.substrates.jax.optimizer
• tfp.experimental.substrates.jax.optimizer.bfgs_minimize
• tfp.experimental.substrates.jax.optimizer.converged_all
• tfp.experimental.substrates.jax.optimizer.converged_any
• tfp.experimental.substrates.jax.optimizer.convergence_criteria
• tfp.experimental.substrates.jax.optimizer.convergence_criteria.ConvergenceCriterion
• tfp.experimental.substrates.jax.optimizer.convergence_criteria.LossNotDecreasing
• tfp.experimental.substrates.jax.optimizer.convergence_criteria.SuccessiveGradientsAreUncorrelated
• tfp.experimental.substrates.jax.optimizer.lbfgs_minimize
• tfp.experimental.substrates.jax.optimizer.linesearch
• tfp.experimental.substrates.jax.optimizer.linesearch.hager_zhang
• tfp.experimental.substrates.jax.optimizer.nelder_mead_minimize
• tfp.experimental.substrates.jax.optimizer.nelder_mead_one_step
• tfp.experimental.substrates.jax.random
• tfp.experimental.substrates.jax.random.rademacher
• tfp.experimental.substrates.jax.random.rayleigh
• tfp.experimental.substrates.jax.random.sanitize_seed
• tfp.experimental.substrates.jax.random.spherical_uniform
• tfp.experimental.substrates.jax.random.split_seed
• tfp.experimental.substrates.jax.stats
• tfp.experimental.substrates.jax.stats.assign_log_moving_mean_exp
• tfp.experimental.substrates.jax.stats.assign_moving_mean_variance
• tfp.experimental.substrates.jax.stats.auto_correlation
• tfp.experimental.substrates.jax.stats.brier_decomposition
• tfp.experimental.substrates.jax.stats.brier_score
• tfp.experimental.substrates.jax.stats.cholesky_covariance
• tfp.experimental.substrates.jax.stats.correlation
• tfp.experimental.substrates.jax.stats.count_integers
• tfp.experimental.substrates.jax.stats.covariance
• tfp.experimental.substrates.jax.stats.cumulative_variance
• tfp.experimental.substrates.jax.stats.expected_calibration_error
• tfp.experimental.substrates.jax.stats.expected_calibration_error_quantiles
• tfp.experimental.substrates.jax.stats.find_bins
• tfp.experimental.substrates.jax.stats.histogram
• tfp.experimental.substrates.jax.stats.kendalls_tau
• tfp.experimental.substrates.jax.stats.log_average_probs
• tfp.experimental.substrates.jax.stats.log_loomean_exp
• tfp.experimental.substrates.jax.stats.log_loosum_exp
• tfp.experimental.substrates.jax.stats.log_soomean_exp
• tfp.experimental.substrates.jax.stats.log_soosum_exp
• tfp.experimental.substrates.jax.stats.moving_mean_variance_zero_debiased
• tfp.experimental.substrates.jax.stats.percentile
• tfp.experimental.substrates.jax.stats.quantiles
• tfp.experimental.substrates.jax.stats.stddev
• tfp.experimental.substrates.jax.stats.variance
• tfp.experimental.substrates.jax.stats.windowed_mean
• tfp.experimental.substrates.jax.stats.windowed_variance
• tfp.experimental.substrates.jax.sts
• tfp.experimental.substrates.jax.sts.AdditiveStateSpaceModel
• tfp.experimental.substrates.jax.sts.Autoregressive
• tfp.experimental.substrates.jax.sts.AutoregressiveIntegratedMovingAverage
• tfp.experimental.substrates.jax.sts.AutoregressiveMovingAverageStateSpaceModel
• tfp.experimental.substrates.jax.sts.AutoregressiveStateSpaceModel
• tfp.experimental.substrates.jax.sts.ConstrainedSeasonalStateSpaceModel
• tfp.experimental.substrates.jax.sts.DynamicLinearRegression
• tfp.experimental.substrates.jax.sts.DynamicLinearRegressionStateSpaceModel
• tfp.experimental.substrates.jax.sts.IntegratedStateSpaceModel
• tfp.experimental.substrates.jax.sts.LinearRegression
• tfp.experimental.substrates.jax.sts.LocalLevel
• tfp.experimental.substrates.jax.sts.LocalLevelStateSpaceModel
• tfp.experimental.substrates.jax.sts.LocalLinearTrend
• tfp.experimental.substrates.jax.sts.LocalLinearTrendStateSpaceModel
• tfp.experimental.substrates.jax.sts.MaskedTimeSeries
• tfp.experimental.substrates.jax.sts.MissingValuesTolerance
• tfp.experimental.substrates.jax.sts.Seasonal
• tfp.experimental.substrates.jax.sts.SeasonalStateSpaceModel
• tfp.experimental.substrates.jax.sts.SemiLocalLinearTrend
• tfp.experimental.substrates.jax.sts.SemiLocalLinearTrendStateSpaceModel
• tfp.experimental.substrates.jax.sts.SmoothSeasonal
• tfp.experimental.substrates.jax.sts.SmoothSeasonalStateSpaceModel
• tfp.experimental.substrates.jax.sts.SparseLinearRegression
• tfp.experimental.substrates.jax.sts.StructuralTimeSeries
• tfp.experimental.substrates.jax.sts.Sum
• tfp.experimental.substrates.jax.sts.build_factored_surrogate_posterior
• tfp.experimental.substrates.jax.sts.build_factored_surrogate_posterior_stateless
• tfp.experimental.substrates.jax.sts.decompose_by_component
• tfp.experimental.substrates.jax.sts.decompose_forecast_by_component
• tfp.experimental.substrates.jax.sts.fit_with_hmc
• tfp.experimental.substrates.jax.sts.forecast
• tfp.experimental.substrates.jax.sts.impute_missing_values
• tfp.experimental.substrates.jax.sts.moments_of_masked_time_series
• tfp.experimental.substrates.jax.sts.one_step_predictive
• tfp.experimental.substrates.jax.sts.regularize_series
• tfp.experimental.substrates.jax.sts.sample_uniform_initial_state
• tfp.experimental.substrates.jax.util
• tfp.experimental.substrates.jax.util.BatchedComponentProperties
• tfp.experimental.substrates.jax.util.DeferredTensor
• tfp.experimental.substrates.jax.util.ParameterProperties
• tfp.experimental.substrates.jax.util.SeedStream
• tfp.experimental.substrates.jax.util.TransformedVariable
• tfp.experimental.substrates.jax.vi
• tfp.experimental.substrates.jax.vi.GradientEstimators
• tfp.experimental.substrates.jax.vi.amari_alpha
• tfp.experimental.substrates.jax.vi.arithmetic_geometric
• tfp.experimental.substrates.jax.vi.chi_square
• tfp.experimental.substrates.jax.vi.csiszar_vimco
• tfp.experimental.substrates.jax.vi.dual_csiszar_function
• tfp.experimental.substrates.jax.vi.fit_surrogate_posterior_stateless
• tfp.experimental.substrates.jax.vi.jeffreys
• tfp.experimental.substrates.jax.vi.jensen_shannon
• tfp.experimental.substrates.jax.vi.kl_forward
• tfp.experimental.substrates.jax.vi.kl_reverse
• tfp.experimental.substrates.jax.vi.log1p_abs
• tfp.experimental.substrates.jax.vi.modified_gan
• tfp.experimental.substrates.jax.vi.monte_carlo_variational_loss
• tfp.experimental.substrates.jax.vi.pearson
• tfp.experimental.substrates.jax.vi.squared_hellinger
• tfp.experimental.substrates.jax.vi.symmetrized_csiszar_function
• tfp.experimental.substrates.jax.vi.t_power
• tfp.experimental.substrates.jax.vi.total_variation
• tfp.experimental.substrates.jax.vi.triangular
• tfp.experimental.substrates.numpy
• tfp.experimental.substrates.numpy.bijectors
• tfp.experimental.substrates.numpy.bijectors.AbsoluteValue
• tfp.experimental.substrates.numpy.bijectors.Ascending
• tfp.experimental.substrates.numpy.bijectors.AutoCompositeTensorBijector
• tfp.experimental.substrates.numpy.bijectors.AutoregressiveNetwork
• tfp.experimental.substrates.numpy.bijectors.Bijector
• tfp.experimental.substrates.numpy.bijectors.Blockwise
• tfp.experimental.substrates.numpy.bijectors.Chain
• tfp.experimental.substrates.numpy.bijectors.CholeskyOuterProduct
• tfp.experimental.substrates.numpy.bijectors.CholeskyToInvCholesky
• tfp.experimental.substrates.numpy.bijectors.Composition
• tfp.experimental.substrates.numpy.bijectors.CorrelationCholesky
• tfp.experimental.substrates.numpy.bijectors.Cumsum
• tfp.experimental.substrates.numpy.bijectors.Exp
• tfp.experimental.substrates.numpy.bijectors.Expm1
• tfp.experimental.substrates.numpy.bijectors.FFJORD
• tfp.experimental.substrates.numpy.bijectors.FillScaleTriL
• tfp.experimental.substrates.numpy.bijectors.FillTriangular
• tfp.experimental.substrates.numpy.bijectors.FrechetCDF
• tfp.experimental.substrates.numpy.bijectors.GeneralizedExtremeValueCDF
• tfp.experimental.substrates.numpy.bijectors.GeneralizedPareto
• tfp.experimental.substrates.numpy.bijectors.GompertzCDF
• tfp.experimental.substrates.numpy.bijectors.GumbelCDF
• tfp.experimental.substrates.numpy.bijectors.Householder
• tfp.experimental.substrates.numpy.bijectors.Identity
• tfp.experimental.substrates.numpy.bijectors.Inline
• tfp.experimental.substrates.numpy.bijectors.Invert
• tfp.experimental.substrates.numpy.bijectors.IteratedSigmoidCentered
• tfp.experimental.substrates.numpy.bijectors.JointMap
• tfp.experimental.substrates.numpy.bijectors.KumaraswamyCDF
• tfp.experimental.substrates.numpy.bijectors.LambertWTail
• tfp.experimental.substrates.numpy.bijectors.Log
• tfp.experimental.substrates.numpy.bijectors.Log1p
• tfp.experimental.substrates.numpy.bijectors.MaskedAutoregressiveFlow
• tfp.experimental.substrates.numpy.bijectors.MatrixInverseTriL
• tfp.experimental.substrates.numpy.bijectors.MatvecLU
• tfp.experimental.substrates.numpy.bijectors.MoyalCDF
• tfp.experimental.substrates.numpy.bijectors.NormalCDF
• tfp.experimental.substrates.numpy.bijectors.Pad
• tfp.experimental.substrates.numpy.bijectors.Permute
• tfp.experimental.substrates.numpy.bijectors.Power
• tfp.experimental.substrates.numpy.bijectors.PowerTransform
• tfp.experimental.substrates.numpy.bijectors.RationalQuadraticSpline
• tfp.experimental.substrates.numpy.bijectors.RayleighCDF
• tfp.experimental.substrates.numpy.bijectors.RealNVP
• tfp.experimental.substrates.numpy.bijectors.Reciprocal
• tfp.experimental.substrates.numpy.bijectors.Reshape
• tfp.experimental.substrates.numpy.bijectors.Restructure
• tfp.experimental.substrates.numpy.bijectors.Scale
• tfp.experimental.substrates.numpy.bijectors.ScaleMatvecDiag
• tfp.experimental.substrates.numpy.bijectors.ScaleMatvecLU
• tfp.experimental.substrates.numpy.bijectors.ScaleMatvecLinearOperator
• tfp.experimental.substrates.numpy.bijectors.ScaleMatvecLinearOperatorBlock
• tfp.experimental.substrates.numpy.bijectors.ScaleMatvecTriL
• tfp.experimental.substrates.numpy.bijectors.Shift
• tfp.experimental.substrates.numpy.bijectors.ShiftedGompertzCDF
• tfp.experimental.substrates.numpy.bijectors.Sigmoid
• tfp.experimental.substrates.numpy.bijectors.Sinh
• tfp.experimental.substrates.numpy.bijectors.SinhArcsinh
• tfp.experimental.substrates.numpy.bijectors.SoftClip
• tfp.experimental.substrates.numpy.bijectors.Softfloor
• tfp.experimental.substrates.numpy.bijectors.SoftmaxCentered
• tfp.experimental.substrates.numpy.bijectors.Softplus
• tfp.experimental.substrates.numpy.bijectors.Softsign
• tfp.experimental.substrates.numpy.bijectors.Split
• tfp.experimental.substrates.numpy.bijectors.Square
• tfp.experimental.substrates.numpy.bijectors.Tanh
• tfp.experimental.substrates.numpy.bijectors.TransformDiagonal
• tfp.experimental.substrates.numpy.bijectors.Transpose
• tfp.experimental.substrates.numpy.bijectors.UnitVector
• tfp.experimental.substrates.numpy.bijectors.WeibullCDF
• tfp.experimental.substrates.numpy.bijectors.masked_autoregressive_default_template
• tfp.experimental.substrates.numpy.bijectors.masked_dense
• tfp.experimental.substrates.numpy.bijectors.pack_sequence_as
• tfp.experimental.substrates.numpy.bijectors.real_nvp_default_template
• tfp.experimental.substrates.numpy.bijectors.tree_flatten
• tfp.experimental.substrates.numpy.distributions
• tfp.experimental.substrates.numpy.distributions.AutoCompositeTensorDistribution
• tfp.experimental.substrates.numpy.distributions.Autoregressive
• tfp.experimental.substrates.numpy.distributions.BatchBroadcast
• tfp.experimental.substrates.numpy.distributions.BatchReshape
• tfp.experimental.substrates.numpy.distributions.Bates
• tfp.experimental.substrates.numpy.distributions.Bernoulli
• tfp.experimental.substrates.numpy.distributions.Beta
• tfp.experimental.substrates.numpy.distributions.BetaBinomial
• tfp.experimental.substrates.numpy.distributions.BetaQuotient
• tfp.experimental.substrates.numpy.distributions.Binomial
• tfp.experimental.substrates.numpy.distributions.Blockwise
• tfp.experimental.substrates.numpy.distributions.Categorical
• tfp.experimental.substrates.numpy.distributions.Cauchy
• tfp.experimental.substrates.numpy.distributions.Chi
• tfp.experimental.substrates.numpy.distributions.Chi2
• tfp.experimental.substrates.numpy.distributions.CholeskyLKJ
• tfp.experimental.substrates.numpy.distributions.DeterminantalPointProcess
• tfp.experimental.substrates.numpy.distributions.Deterministic
• tfp.experimental.substrates.numpy.distributions.Dirichlet
• tfp.experimental.substrates.numpy.distributions.DirichletMultinomial
• tfp.experimental.substrates.numpy.distributions.Distribution
• tfp.experimental.substrates.numpy.distributions.DoublesidedMaxwell
• tfp.experimental.substrates.numpy.distributions.Empirical
• tfp.experimental.substrates.numpy.distributions.ExpGamma
• tfp.experimental.substrates.numpy.distributions.ExpInverseGamma
• tfp.experimental.substrates.numpy.distributions.ExpRelaxedOneHotCategorical
• tfp.experimental.substrates.numpy.distributions.Exponential
• tfp.experimental.substrates.numpy.distributions.ExponentiallyModifiedGaussian
• tfp.experimental.substrates.numpy.distributions.FiniteDiscrete
• tfp.experimental.substrates.numpy.distributions.Gamma
• tfp.experimental.substrates.numpy.distributions.GammaGamma
• tfp.experimental.substrates.numpy.distributions.GaussianProcess
• tfp.experimental.substrates.numpy.distributions.GaussianProcessRegressionModel
• tfp.experimental.substrates.numpy.distributions.GeneralizedExtremeValue
• tfp.experimental.substrates.numpy.distributions.GeneralizedNormal
• tfp.experimental.substrates.numpy.distributions.GeneralizedPareto
• tfp.experimental.substrates.numpy.distributions.Geometric
• tfp.experimental.substrates.numpy.distributions.Gumbel
• tfp.experimental.substrates.numpy.distributions.HalfCauchy
• tfp.experimental.substrates.numpy.distributions.HalfNormal
• tfp.experimental.substrates.numpy.distributions.HalfStudentT
• tfp.experimental.substrates.numpy.distributions.HiddenMarkovModel
• tfp.experimental.substrates.numpy.distributions.Horseshoe
• tfp.experimental.substrates.numpy.distributions.Independent
• tfp.experimental.substrates.numpy.distributions.Inflated
• tfp.experimental.substrates.numpy.distributions.InverseGamma
• tfp.experimental.substrates.numpy.distributions.InverseGaussian
• tfp.experimental.substrates.numpy.distributions.JohnsonSU
• tfp.experimental.substrates.numpy.distributions.JointDistribution
• tfp.experimental.substrates.numpy.distributions.JointDistribution.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionCoroutine
• tfp.experimental.substrates.numpy.distributions.JointDistributionCoroutine.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionCoroutineAutoBatched
• tfp.experimental.substrates.numpy.distributions.JointDistributionCoroutineAutoBatched.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionNamed
• tfp.experimental.substrates.numpy.distributions.JointDistributionNamed.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionNamedAutoBatched
• tfp.experimental.substrates.numpy.distributions.JointDistributionNamedAutoBatched.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionSequential
• tfp.experimental.substrates.numpy.distributions.JointDistributionSequential.Root
• tfp.experimental.substrates.numpy.distributions.JointDistributionSequentialAutoBatched
• tfp.experimental.substrates.numpy.distributions.JointDistributionSequentialAutoBatched.Root
• tfp.experimental.substrates.numpy.distributions.Kumaraswamy
• tfp.experimental.substrates.numpy.distributions.LKJ
• tfp.experimental.substrates.numpy.distributions.LambertWDistribution
• tfp.experimental.substrates.numpy.distributions.LambertWNormal
• tfp.experimental.substrates.numpy.distributions.Laplace
• tfp.experimental.substrates.numpy.distributions.LinearGaussianStateSpaceModel
• tfp.experimental.substrates.numpy.distributions.LogLogistic
• tfp.experimental.substrates.numpy.distributions.LogNormal
• tfp.experimental.substrates.numpy.distributions.Logistic
• tfp.experimental.substrates.numpy.distributions.LogitNormal
• tfp.experimental.substrates.numpy.distributions.MarkovChain
• tfp.experimental.substrates.numpy.distributions.Masked
• tfp.experimental.substrates.numpy.distributions.MatrixNormalLinearOperator
• tfp.experimental.substrates.numpy.distributions.MatrixTLinearOperator
• tfp.experimental.substrates.numpy.distributions.Mixture
• tfp.experimental.substrates.numpy.distributions.MixtureSameFamily
• tfp.experimental.substrates.numpy.distributions.Moyal
• tfp.experimental.substrates.numpy.distributions.Multinomial
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalDiag
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalDiagPlusLowRank
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalDiagPlusLowRankCovariance
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalFullCovariance
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalLinearOperator
• tfp.experimental.substrates.numpy.distributions.MultivariateNormalTriL
• tfp.experimental.substrates.numpy.distributions.MultivariateStudentTLinearOperator
• tfp.experimental.substrates.numpy.distributions.NegativeBinomial
• tfp.experimental.substrates.numpy.distributions.NoncentralChi2
• tfp.experimental.substrates.numpy.distributions.Normal
• tfp.experimental.substrates.numpy.distributions.NormalInverseGaussian
• tfp.experimental.substrates.numpy.distributions.OneHotCategorical
• tfp.experimental.substrates.numpy.distributions.OrderedLogistic
• tfp.experimental.substrates.numpy.distributions.PERT
• tfp.experimental.substrates.numpy.distributions.Pareto
• tfp.experimental.substrates.numpy.distributions.PlackettLuce
• tfp.experimental.substrates.numpy.distributions.Poisson
• tfp.experimental.substrates.numpy.distributions.PoissonLogNormalQuadratureCompound
• tfp.experimental.substrates.numpy.distributions.PowerSpherical
• tfp.experimental.substrates.numpy.distributions.ProbitBernoulli
• tfp.experimental.substrates.numpy.distributions.QuantizedDistribution
• tfp.experimental.substrates.numpy.distributions.RegisterKL
• tfp.experimental.substrates.numpy.distributions.RelaxedBernoulli
• tfp.experimental.substrates.numpy.distributions.RelaxedOneHotCategorical
• tfp.experimental.substrates.numpy.distributions.ReparameterizationType
• tfp.experimental.substrates.numpy.distributions.Sample
• tfp.experimental.substrates.numpy.distributions.SigmoidBeta
• tfp.experimental.substrates.numpy.distributions.SinhArcsinh
• tfp.experimental.substrates.numpy.distributions.Skellam
• tfp.experimental.substrates.numpy.distributions.SphericalUniform
• tfp.experimental.substrates.numpy.distributions.StoppingRatioLogistic
• tfp.experimental.substrates.numpy.distributions.StudentT
• tfp.experimental.substrates.numpy.distributions.StudentTProcess
• tfp.experimental.substrates.numpy.distributions.StudentTProcessRegressionModel
• tfp.experimental.substrates.numpy.distributions.TransformedDistribution
• tfp.experimental.substrates.numpy.distributions.Triangular
• tfp.experimental.substrates.numpy.distributions.TruncatedCauchy
• tfp.experimental.substrates.numpy.distributions.TruncatedNormal
• tfp.experimental.substrates.numpy.distributions.TwoPieceNormal
• tfp.experimental.substrates.numpy.distributions.TwoPieceStudentT
• tfp.experimental.substrates.numpy.distributions.Uniform
• tfp.experimental.substrates.numpy.distributions.VariationalGaussianProcess
• tfp.experimental.substrates.numpy.distributions.VectorDeterministic
• tfp.experimental.substrates.numpy.distributions.VonMises
• tfp.experimental.substrates.numpy.distributions.VonMisesFisher
• tfp.experimental.substrates.numpy.distributions.Weibull
• tfp.experimental.substrates.numpy.distributions.WishartLinearOperator
• tfp.experimental.substrates.numpy.distributions.WishartTriL
• tfp.experimental.substrates.numpy.distributions.ZeroInflatedNegativeBinomial
• tfp.experimental.substrates.numpy.distributions.Zipf
• tfp.experimental.substrates.numpy.distributions.independent_joint_distribution_from_structure
• tfp.experimental.substrates.numpy.distributions.kl_divergence
• tfp.experimental.substrates.numpy.distributions.mvn_conjugate_linear_update
• tfp.experimental.substrates.numpy.distributions.normal_conjugates_known_scale_posterior
• tfp.experimental.substrates.numpy.distributions.normal_conjugates_known_scale_predictive
• tfp.experimental.substrates.numpy.distributions.quadrature_scheme_lognormal_gauss_hermite
• tfp.experimental.substrates.numpy.distributions.quadrature_scheme_lognormal_quantiles
• tfp.experimental.substrates.numpy.glm
• tfp.experimental.substrates.numpy.glm.Bernoulli
• tfp.experimental.substrates.numpy.glm.BernoulliNormalCDF
• tfp.experimental.substrates.numpy.glm.Binomial
• tfp.experimental.substrates.numpy.glm.CustomExponentialFamily
• tfp.experimental.substrates.numpy.glm.ExponentialFamily
• tfp.experimental.substrates.numpy.glm.GammaExp
• tfp.experimental.substrates.numpy.glm.GammaSoftplus
• tfp.experimental.substrates.numpy.glm.LogNormal
• tfp.experimental.substrates.numpy.glm.LogNormalSoftplus
• tfp.experimental.substrates.numpy.glm.NegativeBinomial
• tfp.experimental.substrates.numpy.glm.NegativeBinomialSoftplus
• tfp.experimental.substrates.numpy.glm.Normal
• tfp.experimental.substrates.numpy.glm.NormalReciprocal
• tfp.experimental.substrates.numpy.glm.Poisson
• tfp.experimental.substrates.numpy.glm.PoissonSoftplus
• tfp.experimental.substrates.numpy.glm.compute_predicted_linear_response
• tfp.experimental.substrates.numpy.glm.convergence_criteria_small_relative_norm_weights_change
• tfp.experimental.substrates.numpy.glm.fit
• tfp.experimental.substrates.numpy.glm.fit_one_step
• tfp.experimental.substrates.numpy.math
• tfp.experimental.substrates.numpy.math.MinimizeTraceableQuantities
• tfp.experimental.substrates.numpy.math.atan_difference
• tfp.experimental.substrates.numpy.math.batch_interp_rectilinear_nd_grid
• tfp.experimental.substrates.numpy.math.batch_interp_regular_1d_grid
• tfp.experimental.substrates.numpy.math.batch_interp_regular_nd_grid
• tfp.experimental.substrates.numpy.math.bessel_iv_ratio
• tfp.experimental.substrates.numpy.math.bessel_ive
• tfp.experimental.substrates.numpy.math.bessel_kve
• tfp.experimental.substrates.numpy.math.betainc
• tfp.experimental.substrates.numpy.math.betaincinv
• tfp.experimental.substrates.numpy.math.bracket_root
• tfp.experimental.substrates.numpy.math.cholesky_concat
• tfp.experimental.substrates.numpy.math.cholesky_update
• tfp.experimental.substrates.numpy.math.clip_by_value_preserve_gradient
• tfp.experimental.substrates.numpy.math.custom_gradient
• tfp.experimental.substrates.numpy.math.dawsn
• tfp.experimental.substrates.numpy.math.diag_jacobian
• tfp.experimental.substrates.numpy.math.erfcinv
• tfp.experimental.substrates.numpy.math.erfcx
• tfp.experimental.substrates.numpy.math.fill_triangular
• tfp.experimental.substrates.numpy.math.fill_triangular_inverse
• tfp.experimental.substrates.numpy.math.find_root_chandrupatla
• tfp.experimental.substrates.numpy.math.find_root_secant
• tfp.experimental.substrates.numpy.math.gram_schmidt
• tfp.experimental.substrates.numpy.math.hpsd_logdet
• tfp.experimental.substrates.numpy.math.hpsd_quadratic_form_solve
• tfp.experimental.substrates.numpy.math.hpsd_quadratic_form_solvevec
• tfp.experimental.substrates.numpy.math.hpsd_solve
• tfp.experimental.substrates.numpy.math.hpsd_solvevec
• tfp.experimental.substrates.numpy.math.hypergeometric
• tfp.experimental.substrates.numpy.math.hypergeometric.hyp2f1_small_argument
• tfp.experimental.substrates.numpy.math.igammacinv
• tfp.experimental.substrates.numpy.math.igammainv
• tfp.experimental.substrates.numpy.math.interp_regular_1d_grid
• tfp.experimental.substrates.numpy.math.lambertw
• tfp.experimental.substrates.numpy.math.lambertw_winitzki_approx
• tfp.experimental.substrates.numpy.math.lbeta
• tfp.experimental.substrates.numpy.math.log1mexp
• tfp.experimental.substrates.numpy.math.log1psquare
• tfp.experimental.substrates.numpy.math.log_add_exp
• tfp.experimental.substrates.numpy.math.log_bessel_ive
• tfp.experimental.substrates.numpy.math.log_bessel_kve
• tfp.experimental.substrates.numpy.math.log_combinations
• tfp.experimental.substrates.numpy.math.log_cosh
• tfp.experimental.substrates.numpy.math.log_cumsum_exp
• tfp.experimental.substrates.numpy.math.log_gamma_correction
• tfp.experimental.substrates.numpy.math.log_gamma_difference
• tfp.experimental.substrates.numpy.math.log_sub_exp
• tfp.experimental.substrates.numpy.math.logerfc
• tfp.experimental.substrates.numpy.math.logerfcx
• tfp.experimental.substrates.numpy.math.low_rank_cholesky
• tfp.experimental.substrates.numpy.math.lu_matrix_inverse
• tfp.experimental.substrates.numpy.math.lu_reconstruct
• tfp.experimental.substrates.numpy.math.lu_solve
• tfp.experimental.substrates.numpy.math.minimize
• tfp.experimental.substrates.numpy.math.minimize_stateless
• tfp.experimental.substrates.numpy.math.ode
• tfp.experimental.substrates.numpy.math.ode.BDF
• tfp.experimental.substrates.numpy.math.ode.ChosenBySolver
• tfp.experimental.substrates.numpy.math.ode.Diagnostics
• tfp.experimental.substrates.numpy.math.ode.DormandPrince
• tfp.experimental.substrates.numpy.math.ode.Results
• tfp.experimental.substrates.numpy.math.ode.Solver
• tfp.experimental.substrates.numpy.math.owens_t
• tfp.experimental.substrates.numpy.math.pivoted_cholesky
• tfp.experimental.substrates.numpy.math.psd_kernels
• tfp.experimental.substrates.numpy.math.psd_kernels.AutoCompositeTensorPsdKernel
• tfp.experimental.substrates.numpy.math.psd_kernels.ChangePoint
• tfp.experimental.substrates.numpy.math.psd_kernels.Constant
• tfp.experimental.substrates.numpy.math.psd_kernels.ExpSinSquared
• tfp.experimental.substrates.numpy.math.psd_kernels.ExponentialCurve
• tfp.experimental.substrates.numpy.math.psd_kernels.ExponentiatedQuadratic
• tfp.experimental.substrates.numpy.math.psd_kernels.FeatureScaled
• tfp.experimental.substrates.numpy.math.psd_kernels.FeatureTransformed
• tfp.experimental.substrates.numpy.math.psd_kernels.GammaExponential
• tfp.experimental.substrates.numpy.math.psd_kernels.GeneralizedMatern
• tfp.experimental.substrates.numpy.math.psd_kernels.KumaraswamyTransformed
• tfp.experimental.substrates.numpy.math.psd_kernels.Linear
• tfp.experimental.substrates.numpy.math.psd_kernels.MaternFiveHalves
• tfp.experimental.substrates.numpy.math.psd_kernels.MaternOneHalf
• tfp.experimental.substrates.numpy.math.psd_kernels.MaternThreeHalves
• tfp.experimental.substrates.numpy.math.psd_kernels.Parabolic
• tfp.experimental.substrates.numpy.math.psd_kernels.PointwiseExponential
• tfp.experimental.substrates.numpy.math.psd_kernels.Polynomial
• tfp.experimental.substrates.numpy.math.psd_kernels.PositiveSemidefiniteKernel
• tfp.experimental.substrates.numpy.math.psd_kernels.RationalQuadratic
• tfp.experimental.substrates.numpy.math.psd_kernels.SchurComplement
• tfp.experimental.substrates.numpy.math.psd_kernels.SpectralMixture
• tfp.experimental.substrates.numpy.math.reduce_kahan_sum
• tfp.experimental.substrates.numpy.math.reduce_log_harmonic_mean_exp
• tfp.experimental.substrates.numpy.math.reduce_logmeanexp
• tfp.experimental.substrates.numpy.math.reduce_weighted_logsumexp
• tfp.experimental.substrates.numpy.math.round_exponential_bump_function
• tfp.experimental.substrates.numpy.math.scan_associative
• tfp.experimental.substrates.numpy.math.secant_root
• tfp.experimental.substrates.numpy.math.smootherstep
• tfp.experimental.substrates.numpy.math.soft_sorting_matrix
• tfp.experimental.substrates.numpy.math.soft_threshold
• tfp.experimental.substrates.numpy.math.softplus_inverse
• tfp.experimental.substrates.numpy.math.sparse_or_dense_matmul
• tfp.experimental.substrates.numpy.math.sparse_or_dense_matvecmul
• tfp.experimental.substrates.numpy.math.sqrt1pm1
• tfp.experimental.substrates.numpy.math.trapz
• tfp.experimental.substrates.numpy.math.value_and_gradient
• tfp.experimental.substrates.numpy.mcmc
• tfp.experimental.substrates.numpy.mcmc.CheckpointableStatesAndTrace
• tfp.experimental.substrates.numpy.mcmc.DualAveragingStepSizeAdaptation
• tfp.experimental.substrates.numpy.mcmc.MetropolisHastings
• tfp.experimental.substrates.numpy.mcmc.RandomWalkMetropolis
• tfp.experimental.substrates.numpy.mcmc.ReplicaExchangeMC
• tfp.experimental.substrates.numpy.mcmc.SimpleStepSizeAdaptation
• tfp.experimental.substrates.numpy.mcmc.SliceSampler
• tfp.experimental.substrates.numpy.mcmc.StatesAndTrace
• tfp.experimental.substrates.numpy.mcmc.TransformedTransitionKernel
• tfp.experimental.substrates.numpy.mcmc.TransitionKernel
• tfp.experimental.substrates.numpy.mcmc.UncalibratedRandomWalk
• tfp.experimental.substrates.numpy.mcmc.default_swap_proposal_fn
• tfp.experimental.substrates.numpy.mcmc.effective_sample_size
• tfp.experimental.substrates.numpy.mcmc.even_odd_swap_proposal_fn
• tfp.experimental.substrates.numpy.mcmc.potential_scale_reduction
• tfp.experimental.substrates.numpy.mcmc.random_walk_normal_fn
• tfp.experimental.substrates.numpy.mcmc.random_walk_uniform_fn
• tfp.experimental.substrates.numpy.mcmc.sample_annealed_importance_chain
• tfp.experimental.substrates.numpy.mcmc.sample_chain
• tfp.experimental.substrates.numpy.mcmc.sample_halton_sequence
• tfp.experimental.substrates.numpy.monte_carlo
• tfp.experimental.substrates.numpy.monte_carlo.expectation
• tfp.experimental.substrates.numpy.optimizer
• tfp.experimental.substrates.numpy.optimizer.bfgs_minimize
• tfp.experimental.substrates.numpy.optimizer.converged_all
• tfp.experimental.substrates.numpy.optimizer.converged_any
• tfp.experimental.substrates.numpy.optimizer.convergence_criteria
• tfp.experimental.substrates.numpy.optimizer.convergence_criteria.ConvergenceCriterion
• tfp.experimental.substrates.numpy.optimizer.convergence_criteria.LossNotDecreasing
• tfp.experimental.substrates.numpy.optimizer.convergence_criteria.SuccessiveGradientsAreUncorrelated
• tfp.experimental.substrates.numpy.optimizer.lbfgs_minimize
• tfp.experimental.substrates.numpy.optimizer.linesearch
• tfp.experimental.substrates.numpy.optimizer.linesearch.hager_zhang
• tfp.experimental.substrates.numpy.optimizer.nelder_mead_minimize
• tfp.experimental.substrates.numpy.optimizer.nelder_mead_one_step
• tfp.experimental.substrates.numpy.random
• tfp.experimental.substrates.numpy.random.rademacher
• tfp.experimental.substrates.numpy.random.rayleigh
• tfp.experimental.substrates.numpy.random.sanitize_seed
• tfp.experimental.substrates.numpy.random.spherical_uniform
• tfp.experimental.substrates.numpy.random.split_seed
• tfp.experimental.substrates.numpy.stats
• tfp.experimental.substrates.numpy.stats.assign_log_moving_mean_exp
• tfp.experimental.substrates.numpy.stats.assign_moving_mean_variance
• tfp.experimental.substrates.numpy.stats.auto_correlation
• tfp.experimental.substrates.numpy.stats.brier_decomposition
• tfp.experimental.substrates.numpy.stats.brier_score
• tfp.experimental.substrates.numpy.stats.cholesky_covariance
• tfp.experimental.substrates.numpy.stats.correlation
• tfp.experimental.substrates.numpy.stats.count_integers
• tfp.experimental.substrates.numpy.stats.covariance
• tfp.experimental.substrates.numpy.stats.cumulative_variance
• tfp.experimental.substrates.numpy.stats.expected_calibration_error
• tfp.experimental.substrates.numpy.stats.expected_calibration_error_quantiles
• tfp.experimental.substrates.numpy.stats.find_bins
• tfp.experimental.substrates.numpy.stats.histogram
• tfp.experimental.substrates.numpy.stats.kendalls_tau
• tfp.experimental.substrates.numpy.stats.log_average_probs
• tfp.experimental.substrates.numpy.stats.log_loomean_exp
• tfp.experimental.substrates.numpy.stats.log_loosum_exp
• tfp.experimental.substrates.numpy.stats.log_soomean_exp
• tfp.experimental.substrates.numpy.stats.log_soosum_exp
• tfp.experimental.substrates.numpy.stats.moving_mean_variance_zero_debiased
• tfp.experimental.substrates.numpy.stats.percentile
• tfp.experimental.substrates.numpy.stats.quantile_auc
• tfp.experimental.substrates.numpy.stats.quantiles
• tfp.experimental.substrates.numpy.stats.stddev
• tfp.experimental.substrates.numpy.stats.variance
• tfp.experimental.substrates.numpy.stats.windowed_mean
• tfp.experimental.substrates.numpy.stats.windowed_variance
• tfp.experimental.substrates.numpy.sts
• tfp.experimental.substrates.numpy.sts.AdditiveStateSpaceModel
• tfp.experimental.substrates.numpy.sts.Autoregressive
• tfp.experimental.substrates.numpy.sts.AutoregressiveIntegratedMovingAverage
• tfp.experimental.substrates.numpy.sts.AutoregressiveMovingAverageStateSpaceModel
• tfp.experimental.substrates.numpy.sts.AutoregressiveStateSpaceModel
• tfp.experimental.substrates.numpy.sts.ConstrainedSeasonalStateSpaceModel
• tfp.experimental.substrates.numpy.sts.DynamicLinearRegression
• tfp.experimental.substrates.numpy.sts.DynamicLinearRegressionStateSpaceModel
• tfp.experimental.substrates.numpy.sts.IntegratedStateSpaceModel
• tfp.experimental.substrates.numpy.sts.LinearRegression
• tfp.experimental.substrates.numpy.sts.LocalLevel
• tfp.experimental.substrates.numpy.sts.LocalLevelStateSpaceModel
• tfp.experimental.substrates.numpy.sts.LocalLinearTrend
• tfp.experimental.substrates.numpy.sts.LocalLinearTrendStateSpaceModel
• tfp.experimental.substrates.numpy.sts.MaskedTimeSeries
• tfp.experimental.substrates.numpy.sts.MissingValuesTolerance
• tfp.experimental.substrates.numpy.sts.Seasonal
• tfp.experimental.substrates.numpy.sts.SeasonalStateSpaceModel
• tfp.experimental.substrates.numpy.sts.SemiLocalLinearTrend
• tfp.experimental.substrates.numpy.sts.SemiLocalLinearTrendStateSpaceModel
• tfp.experimental.substrates.numpy.sts.SmoothSeasonal
• tfp.experimental.substrates.numpy.sts.SmoothSeasonalStateSpaceModel
• tfp.experimental.substrates.numpy.sts.SparseLinearRegression
• tfp.experimental.substrates.numpy.sts.StructuralTimeSeries
• tfp.experimental.substrates.numpy.sts.Sum
• tfp.experimental.substrates.numpy.sts.build_factored_surrogate_posterior
• tfp.experimental.substrates.numpy.sts.build_factored_surrogate_posterior_stateless
• tfp.experimental.substrates.numpy.sts.decompose_by_component
• tfp.experimental.substrates.numpy.sts.decompose_forecast_by_component
• tfp.experimental.substrates.numpy.sts.fit_with_hmc
• tfp.experimental.substrates.numpy.sts.forecast
• tfp.experimental.substrates.numpy.sts.impute_missing_values
• tfp.experimental.substrates.numpy.sts.moments_of_masked_time_series
• tfp.experimental.substrates.numpy.sts.one_step_predictive
• tfp.experimental.substrates.numpy.sts.regularize_series
• tfp.experimental.substrates.numpy.sts.sample_uniform_initial_state
• tfp.experimental.substrates.numpy.util
• tfp.experimental.substrates.numpy.util.BatchedComponentProperties
• tfp.experimental.substrates.numpy.util.DeferredTensor
• tfp.experimental.substrates.numpy.util.ParameterProperties
• tfp.experimental.substrates.numpy.util.SeedStream
• tfp.experimental.substrates.numpy.util.TransformedVariable
• tfp.experimental.substrates.numpy.vi
• tfp.experimental.substrates.numpy.vi.GradientEstimators
• tfp.experimental.substrates.numpy.vi.amari_alpha
• tfp.experimental.substrates.numpy.vi.arithmetic_geometric
• tfp.experimental.substrates.numpy.vi.chi_square
• tfp.experimental.substrates.numpy.vi.csiszar_vimco
• tfp.experimental.substrates.numpy.vi.dual_csiszar_function
• tfp.experimental.substrates.numpy.vi.fit_surrogate_posterior
• tfp.experimental.substrates.numpy.vi.fit_surrogate_posterior_stateless
• tfp.experimental.substrates.numpy.vi.jeffreys
• tfp.experimental.substrates.numpy.vi.jensen_shannon
• tfp.experimental.substrates.numpy.vi.kl_forward
• tfp.experimental.substrates.numpy.vi.kl_reverse
• tfp.experimental.substrates.numpy.vi.log1p_abs
• tfp.experimental.substrates.numpy.vi.modified_gan
• tfp.experimental.substrates.numpy.vi.monte_carlo_variational_loss
• tfp.experimental.substrates.numpy.vi.pearson
• tfp.experimental.substrates.numpy.vi.squared_hellinger
• tfp.experimental.substrates.numpy.vi.symmetrized_csiszar_function
• tfp.experimental.substrates.numpy.vi.t_power
• tfp.experimental.substrates.numpy.vi.total_variation
• tfp.experimental.substrates.numpy.vi.triangular
• tfp.experimental.tangent_spaces
• tfp.experimental.tangent_spaces.AxisAlignedSpace
• tfp.experimental.tangent_spaces.ConstantDiagonalSymmetricMatrixSpace
• tfp.experimental.tangent_spaces.FullSpace
• tfp.experimental.tangent_spaces.GeneralSpace
• tfp.experimental.tangent_spaces.ProbabilitySimplexSpace
• tfp.experimental.tangent_spaces.SphericalSpace
• tfp.experimental.tangent_spaces.SymmetricMatrixSpace
• tfp.experimental.tangent_spaces.TangentSpace
• tfp.experimental.tangent_spaces.UnspecifiedTangentSpaceError
• tfp.experimental.tangent_spaces.ZeroSpace
• tfp.experimental.util
• tfp.experimental.util.DeferredModule
• tfp.experimental.util.JitPublicMethods
• tfp.experimental.util.as_composite
• tfp.experimental.util.make_trainable
• tfp.experimental.util.make_trainable_stateless
• tfp.experimental.util.register_composite
• tfp.experimental.vi
• tfp.experimental.vi.build_affine_surrogate_posterior
• tfp.experimental.vi.build_affine_surrogate_posterior_from_base_distribution
• tfp.experimental.vi.build_affine_surrogate_posterior_from_base_distribution_stateless
• tfp.experimental.vi.build_affine_surrogate_posterior_stateless
• tfp.experimental.vi.build_asvi_surrogate_posterior
• tfp.experimental.vi.build_asvi_surrogate_posterior_stateless
• tfp.experimental.vi.build_factored_surrogate_posterior
• tfp.experimental.vi.build_factored_surrogate_posterior_stateless
• tfp.experimental.vi.build_split_flow_surrogate_posterior
• tfp.experimental.vi.util
• tfp.experimental.vi.util.build_linear_operator_zeros
• tfp.experimental.vi.util.build_trainable_linear_operator_block
• tfp.experimental.vi.util.build_trainable_linear_operator_diag
• tfp.experimental.vi.util.build_trainable_linear_operator_full_matrix
• tfp.experimental.vi.util.build_trainable_linear_operator_tril
• tfp.glm
• tfp.glm.Bernoulli
• tfp.glm.BernoulliNormalCDF
• tfp.glm.Binomial
• tfp.glm.CustomExponentialFamily
• tfp.glm.ExponentialFamily
• tfp.glm.GammaExp
• tfp.glm.GammaSoftplus
• tfp.glm.LogNormal
• tfp.glm.LogNormalSoftplus
• tfp.glm.NegativeBinomial
• tfp.glm.NegativeBinomialSoftplus
• tfp.glm.Normal
• tfp.glm.NormalReciprocal
• tfp.glm.Poisson
• tfp.glm.PoissonSoftplus
• tfp.glm.compute_predicted_linear_response
• tfp.glm.convergence_criteria_small_relative_norm_weights_change
• tfp.glm.fit
• tfp.glm.fit_one_step
• tfp.glm.fit_sparse
• tfp.glm.fit_sparse_one_step
• tfp.layers
• tfp.layers.AutoregressiveTransform
• tfp.layers.BlockwiseInitializer
• tfp.layers.CategoricalMixtureOfOneHotCategorical
• tfp.layers.Convolution1DFlipout
• tfp.layers.Convolution1DReparameterization
• tfp.layers.Convolution2DFlipout
• tfp.layers.Convolution2DReparameterization
• tfp.layers.Convolution3DFlipout
• tfp.layers.Convolution3DReparameterization
• tfp.layers.DenseFlipout
• tfp.layers.DenseLocalReparameterization
• tfp.layers.DenseReparameterization
• tfp.layers.DenseVariational
• tfp.layers.DistributionLambda
• tfp.layers.IndependentBernoulli
• tfp.layers.IndependentLogistic
• tfp.layers.IndependentNormal
• tfp.layers.IndependentPoisson
• tfp.layers.KLDivergenceAddLoss
• tfp.layers.KLDivergenceRegularizer
• tfp.layers.MixtureLogistic
• tfp.layers.MixtureNormal
• tfp.layers.MixtureSameFamily
• tfp.layers.MultivariateNormalTriL
• tfp.layers.OneHotCategorical
• tfp.layers.VariableLayer
• tfp.layers.VariationalGaussianProcess
• tfp.layers.conv_variational
• tfp.layers.conv_variational.Convolution1DFlipout
• tfp.layers.conv_variational.Convolution1DReparameterization
• tfp.layers.conv_variational.Convolution2DFlipout
• tfp.layers.conv_variational.Convolution2DReparameterization
• tfp.layers.conv_variational.Convolution3DFlipout
• tfp.layers.conv_variational.Convolution3DReparameterization
• tfp.layers.default_loc_scale_fn
• tfp.layers.default_mean_field_normal_fn
• tfp.layers.default_multivariate_normal_fn
• tfp.layers.dense_variational
• tfp.layers.dense_variational.DenseFlipout
• tfp.layers.dense_variational.DenseLocalReparameterization
• tfp.layers.dense_variational.DenseReparameterization
• tfp.layers.dense_variational_v2
• tfp.layers.dense_variational_v2.DenseVariational
• tfp.layers.dense_variational_v2.kullback_leibler
• tfp.layers.dense_variational_v2.kullback_leibler.RegisterKL
• tfp.layers.dense_variational_v2.kullback_leibler.augment_kl_xent_docs
• tfp.layers.dense_variational_v2.kullback_leibler.kl_divergence
• tfp.layers.distribution_layer
• tfp.layers.distribution_layer.CategoricalMixtureOfOneHotCategorical
• tfp.layers.distribution_layer.DistributionLambda
• tfp.layers.distribution_layer.IndependentBernoulli
• tfp.layers.distribution_layer.IndependentLogistic
• tfp.layers.distribution_layer.IndependentNormal
• tfp.layers.distribution_layer.IndependentPoisson
• tfp.layers.distribution_layer.KLDivergenceAddLoss
• tfp.layers.distribution_layer.KLDivergenceRegularizer
• tfp.layers.distribution_layer.MixtureLogistic
• tfp.layers.distribution_layer.MixtureNormal
• tfp.layers.distribution_layer.MixtureSameFamily
• tfp.layers.distribution_layer.MultivariateNormalTriL
• tfp.layers.distribution_layer.OneHotCategorical
• tfp.layers.distribution_layer.VariationalGaussianProcess
• tfp.layers.initializers
• tfp.layers.initializers.BlockwiseInitializer
• tfp.layers.masked_autoregressive
• tfp.layers.masked_autoregressive.AutoregressiveTransform
• tfp.layers.util
• tfp.layers.util.default_loc_scale_fn
• tfp.layers.util.default_mean_field_normal_fn
• tfp.layers.util.default_multivariate_normal_fn
• tfp.layers.util.deserialize_function
• tfp.layers.util.serialize_function
• tfp.layers.variable_input
• tfp.layers.variable_input.VariableLayer
• tfp.layers.weight_norm
• tfp.layers.weight_norm.WeightNorm
• tfp.math
• tfp.math.MinimizeTraceableQuantities
• tfp.math.atan_difference
• tfp.math.batch_interp_rectilinear_nd_grid
• tfp.math.batch_interp_regular_1d_grid
• tfp.math.batch_interp_regular_nd_grid
• tfp.math.bessel_iv_ratio
• tfp.math.bessel_ive
• tfp.math.bessel_kve
• tfp.math.betainc
• tfp.math.betaincinv
• tfp.math.bracket_root
• tfp.math.cholesky_concat
• tfp.math.cholesky_update
• tfp.math.clip_by_value_preserve_gradient
• tfp.math.custom_gradient
• tfp.math.dawsn
• tfp.math.dense_to_sparse
• tfp.math.diag_jacobian
• tfp.math.erfcinv
• tfp.math.erfcx
• tfp.math.fill_triangular
• tfp.math.fill_triangular_inverse
• tfp.math.find_root_chandrupatla
• tfp.math.find_root_secant
• tfp.math.gram_schmidt
• tfp.math.hpsd_logdet
• tfp.math.hpsd_quadratic_form_solve
• tfp.math.hpsd_quadratic_form_solvevec
• tfp.math.hpsd_solve
• tfp.math.hpsd_solvevec
• tfp.math.hypergeometric
• tfp.math.hypergeometric.hyp2f1_small_argument
• tfp.math.igammacinv
• tfp.math.igammainv
• tfp.math.interp_regular_1d_grid
• tfp.math.lambertw
• tfp.math.lambertw_winitzki_approx
• tfp.math.lbeta
• tfp.math.log1mexp
• tfp.math.log1psquare
• tfp.math.log_add_exp
• tfp.math.log_bessel_ive
• tfp.math.log_bessel_kve
• tfp.math.log_combinations
• tfp.math.log_cosh
• tfp.math.log_cumsum_exp
• tfp.math.log_gamma_correction
• tfp.math.log_gamma_difference
• tfp.math.log_sub_exp
• tfp.math.logerfc
• tfp.math.logerfcx
• tfp.math.low_rank_cholesky
• tfp.math.lu_matrix_inverse
• tfp.math.lu_reconstruct
• tfp.math.lu_solve
• tfp.math.minimize
• tfp.math.minimize_stateless
• tfp.math.ode
• tfp.math.ode.BDF
• tfp.math.ode.ChosenBySolver
• tfp.math.ode.Diagnostics
• tfp.math.ode.DormandPrince
• tfp.math.ode.Results
• tfp.math.ode.Solver
• tfp.math.owens_t
• tfp.math.pivoted_cholesky
• tfp.math.psd_kernels
• tfp.math.psd_kernels.AutoCompositeTensorPsdKernel
• tfp.math.psd_kernels.ChangePoint
• tfp.math.psd_kernels.Constant
• tfp.math.psd_kernels.ExpSinSquared
• tfp.math.psd_kernels.ExponentialCurve
• tfp.math.psd_kernels.ExponentiatedQuadratic
• tfp.math.psd_kernels.FeatureScaled
• tfp.math.psd_kernels.FeatureTransformed
• tfp.math.psd_kernels.GammaExponential
• tfp.math.psd_kernels.GeneralizedMatern
• tfp.math.psd_kernels.KumaraswamyTransformed
• tfp.math.psd_kernels.Linear
• tfp.math.psd_kernels.MaternFiveHalves
• tfp.math.psd_kernels.MaternOneHalf
• tfp.math.psd_kernels.MaternThreeHalves
• tfp.math.psd_kernels.Parabolic
• tfp.math.psd_kernels.PointwiseExponential
• tfp.math.psd_kernels.Polynomial
• tfp.math.psd_kernels.PositiveSemidefiniteKernel
• tfp.math.psd_kernels.RationalQuadratic
• tfp.math.psd_kernels.SchurComplement
• tfp.math.psd_kernels.SpectralMixture
• tfp.math.reduce_kahan_sum
• tfp.math.reduce_log_harmonic_mean_exp
• tfp.math.reduce_logmeanexp
• tfp.math.reduce_weighted_logsumexp
• tfp.math.round_exponential_bump_function
• tfp.math.scan_associative
• tfp.math.secant_root
• tfp.math.smootherstep
• tfp.math.soft_sorting_matrix
• tfp.math.soft_threshold
• tfp.math.softplus_inverse
• tfp.math.sparse_or_dense_matmul
• tfp.math.sparse_or_dense_matvecmul
• tfp.math.sqrt1pm1
• tfp.math.trapz
• tfp.math.value_and_gradient
• tfp.mcmc
• tfp.mcmc.CheckpointableStatesAndTrace
• tfp.mcmc.DualAveragingStepSizeAdaptation
• tfp.mcmc.HamiltonianMonteCarlo
• tfp.mcmc.MetropolisAdjustedLangevinAlgorithm
• tfp.mcmc.MetropolisHastings
• tfp.mcmc.NoUTurnSampler
• tfp.mcmc.RandomWalkMetropolis
• tfp.mcmc.ReplicaExchangeMC
• tfp.mcmc.SimpleStepSizeAdaptation
• tfp.mcmc.SliceSampler
• tfp.mcmc.StatesAndTrace
• tfp.mcmc.TransformedTransitionKernel
• tfp.mcmc.TransitionKernel
• tfp.mcmc.UncalibratedHamiltonianMonteCarlo
• tfp.mcmc.UncalibratedLangevin
• tfp.mcmc.UncalibratedRandomWalk
• tfp.mcmc.default_swap_proposal_fn
• tfp.mcmc.effective_sample_size
• tfp.mcmc.even_odd_swap_proposal_fn
• tfp.mcmc.make_simple_step_size_update_policy
• tfp.mcmc.potential_scale_reduction
• tfp.mcmc.random_walk_normal_fn
• tfp.mcmc.random_walk_uniform_fn
• tfp.mcmc.sample_annealed_importance_chain
• tfp.mcmc.sample_chain
• tfp.mcmc.sample_halton_sequence
• tfp.monte_carlo
• tfp.monte_carlo.expectation
• tfp.optimizer
• tfp.optimizer.StochasticGradientLangevinDynamics
• tfp.optimizer.VariationalSGD
• tfp.optimizer.bfgs_minimize
• tfp.optimizer.converged_all
• tfp.optimizer.converged_any
• tfp.optimizer.convergence_criteria
• tfp.optimizer.convergence_criteria.ConvergenceCriterion
• tfp.optimizer.convergence_criteria.LossNotDecreasing
• tfp.optimizer.convergence_criteria.SuccessiveGradientsAreUncorrelated
• tfp.optimizer.differential_evolution_minimize
• tfp.optimizer.differential_evolution_one_step
• tfp.optimizer.lbfgs_minimize
• tfp.optimizer.linesearch
• tfp.optimizer.linesearch.hager_zhang
• tfp.optimizer.nelder_mead_minimize
• tfp.optimizer.nelder_mead_one_step
• tfp.optimizer.proximal_hessian_sparse_minimize
• tfp.optimizer.proximal_hessian_sparse_one_step
• tfp.random
• tfp.random.rademacher
• tfp.random.rayleigh
• tfp.random.sanitize_seed
• tfp.random.spherical_uniform
• tfp.random.split_seed
• tfp.stats
• tfp.stats.assign_log_moving_mean_exp
• tfp.stats.assign_moving_mean_variance
• tfp.stats.auto_correlation
• tfp.stats.brier_decomposition
• tfp.stats.brier_score
• tfp.stats.cholesky_covariance
• tfp.stats.correlation
• tfp.stats.count_integers
• tfp.stats.covariance
• tfp.stats.cumulative_variance
• tfp.stats.expected_calibration_error
• tfp.stats.expected_calibration_error_quantiles
• tfp.stats.find_bins
• tfp.stats.histogram
• tfp.stats.kendalls_tau
• tfp.stats.log_average_probs
• tfp.stats.log_loomean_exp
• tfp.stats.log_loosum_exp
• tfp.stats.log_soomean_exp
• tfp.stats.log_soosum_exp
• tfp.stats.moving_mean_variance_zero_debiased
• tfp.stats.percentile
• tfp.stats.quantile_auc
• tfp.stats.quantiles
• tfp.stats.stddev
• tfp.stats.variance
• tfp.stats.windowed_mean
• tfp.stats.windowed_variance
• tfp.sts
• tfp.sts.AdditiveStateSpaceModel
• tfp.sts.Autoregressive
• tfp.sts.AutoregressiveIntegratedMovingAverage
• tfp.sts.AutoregressiveMovingAverageStateSpaceModel
• tfp.sts.AutoregressiveStateSpaceModel
• tfp.sts.ConstrainedSeasonalStateSpaceModel
• tfp.sts.DynamicLinearRegression
• tfp.sts.DynamicLinearRegressionStateSpaceModel
• tfp.sts.IntegratedStateSpaceModel
• tfp.sts.LinearRegression
• tfp.sts.LocalLevel
• tfp.sts.LocalLevelStateSpaceModel
• tfp.sts.LocalLinearTrend
• tfp.sts.LocalLinearTrendStateSpaceModel
• tfp.sts.MaskedTimeSeries
• tfp.sts.MissingValuesTolerance
• tfp.sts.Seasonal
• tfp.sts.SeasonalStateSpaceModel
• tfp.sts.SemiLocalLinearTrend
• tfp.sts.SemiLocalLinearTrendStateSpaceModel
• tfp.sts.SmoothSeasonal
• tfp.sts.SmoothSeasonalStateSpaceModel
• tfp.sts.SparseLinearRegression
• tfp.sts.StructuralTimeSeries
• tfp.sts.Sum
• tfp.sts.build_factored_surrogate_posterior
• tfp.sts.build_factored_surrogate_posterior_stateless
• tfp.sts.decompose_by_component
• tfp.sts.decompose_forecast_by_component
• tfp.sts.fit_with_hmc
• tfp.sts.forecast
• tfp.sts.impute_missing_values
• tfp.sts.moments_of_masked_time_series
• tfp.sts.one_step_predictive
• tfp.sts.regularize_series
• tfp.sts.sample_uniform_initial_state
• tfp.substrates
• tfp.substrates.jax
• tfp.substrates.jax.bijectors
• tfp.substrates.jax.bijectors.AbsoluteValue
• tfp.substrates.jax.bijectors.Ascending
• tfp.substrates.jax.bijectors.AutoCompositeTensorBijector
• tfp.substrates.jax.bijectors.AutoregressiveNetwork
• tfp.substrates.jax.bijectors.Bijector
• tfp.substrates.jax.bijectors.Blockwise
• tfp.substrates.jax.bijectors.Chain
• tfp.substrates.jax.bijectors.CholeskyOuterProduct
• tfp.substrates.jax.bijectors.CholeskyToInvCholesky
• tfp.substrates.jax.bijectors.Composition
• tfp.substrates.jax.bijectors.CorrelationCholesky
• tfp.substrates.jax.bijectors.Cumsum
• tfp.substrates.jax.bijectors.Exp
• tfp.substrates.jax.bijectors.Expm1
• tfp.substrates.jax.bijectors.FFJORD
• tfp.substrates.jax.bijectors.FillScaleTriL
• tfp.substrates.jax.bijectors.FillTriangular
• tfp.substrates.jax.bijectors.FrechetCDF
• tfp.substrates.jax.bijectors.GeneralizedExtremeValueCDF
• tfp.substrates.jax.bijectors.GeneralizedPareto
• tfp.substrates.jax.bijectors.GompertzCDF
• tfp.substrates.jax.bijectors.GumbelCDF
• tfp.substrates.jax.bijectors.Householder
• tfp.substrates.jax.bijectors.Identity
• tfp.substrates.jax.bijectors.Inline
• tfp.substrates.jax.bijectors.Invert
• tfp.substrates.jax.bijectors.IteratedSigmoidCentered
• tfp.substrates.jax.bijectors.JointMap
• tfp.substrates.jax.bijectors.KumaraswamyCDF
• tfp.substrates.jax.bijectors.LambertWTail
• tfp.substrates.jax.bijectors.Log
• tfp.substrates.jax.bijectors.Log1p
• tfp.substrates.jax.bijectors.MaskedAutoregressiveFlow
• tfp.substrates.jax.bijectors.MatrixInverseTriL
• tfp.substrates.jax.bijectors.MatvecLU
• tfp.substrates.jax.bijectors.MoyalCDF
• tfp.substrates.jax.bijectors.NormalCDF
• tfp.substrates.jax.bijectors.Pad
• tfp.substrates.jax.bijectors.Permute
• tfp.substrates.jax.bijectors.Power
• tfp.substrates.jax.bijectors.PowerTransform
• tfp.substrates.jax.bijectors.RationalQuadraticSpline
• tfp.substrates.jax.bijectors.RayleighCDF
• tfp.substrates.jax.bijectors.RealNVP
• tfp.substrates.jax.bijectors.Reciprocal
• tfp.substrates.jax.bijectors.Reshape
• tfp.substrates.jax.bijectors.Restructure
• tfp.substrates.jax.bijectors.Scale
• tfp.substrates.jax.bijectors.ScaleMatvecDiag
• tfp.substrates.jax.bijectors.ScaleMatvecLU
• tfp.substrates.jax.bijectors.ScaleMatvecLinearOperator
• tfp.substrates.jax.bijectors.ScaleMatvecLinearOperatorBlock
• tfp.substrates.jax.bijectors.ScaleMatvecTriL
• tfp.substrates.jax.bijectors.Shift
• tfp.substrates.jax.bijectors.ShiftedGompertzCDF
• tfp.substrates.jax.bijectors.Sigmoid
• tfp.substrates.jax.bijectors.Sinh
• tfp.substrates.jax.bijectors.SinhArcsinh
• tfp.substrates.jax.bijectors.SoftClip
• tfp.substrates.jax.bijectors.Softfloor
• tfp.substrates.jax.bijectors.SoftmaxCentered
• tfp.substrates.jax.bijectors.Softplus
• tfp.substrates.jax.bijectors.Softsign
• tfp.substrates.jax.bijectors.Split
• tfp.substrates.jax.bijectors.Square
• tfp.substrates.jax.bijectors.Tanh
• tfp.substrates.jax.bijectors.TransformDiagonal
• tfp.substrates.jax.bijectors.Transpose
• tfp.substrates.jax.bijectors.UnitVector
• tfp.substrates.jax.bijectors.WeibullCDF
• tfp.substrates.jax.bijectors.masked_autoregressive_default_template
• tfp.substrates.jax.bijectors.masked_dense
• tfp.substrates.jax.bijectors.pack_sequence_as
• tfp.substrates.jax.bijectors.real_nvp_default_template
• tfp.substrates.jax.bijectors.tree_flatten
• tfp.substrates.jax.distributions
• tfp.substrates.jax.distributions.AutoCompositeTensorDistribution
• tfp.substrates.jax.distributions.Autoregressive
• tfp.substrates.jax.distributions.BatchBroadcast
• tfp.substrates.jax.distributions.BatchReshape
• tfp.substrates.jax.distributions.Bates
• tfp.substrates.jax.distributions.Bernoulli
• tfp.substrates.jax.distributions.Beta
• tfp.substrates.jax.distributions.BetaBinomial
• tfp.substrates.jax.distributions.BetaQuotient
• tfp.substrates.jax.distributions.Binomial
• tfp.substrates.jax.distributions.Blockwise
• tfp.substrates.jax.distributions.Categorical
• tfp.substrates.jax.distributions.Cauchy
• tfp.substrates.jax.distributions.Chi
• tfp.substrates.jax.distributions.Chi2
• tfp.substrates.jax.distributions.CholeskyLKJ
• tfp.substrates.jax.distributions.DeterminantalPointProcess
• tfp.substrates.jax.distributions.Deterministic
• tfp.substrates.jax.distributions.Dirichlet
• tfp.substrates.jax.distributions.DirichletMultinomial
• tfp.substrates.jax.distributions.Distribution
• tfp.substrates.jax.distributions.DoublesidedMaxwell
• tfp.substrates.jax.distributions.Empirical
• tfp.substrates.jax.distributions.ExpGamma
• tfp.substrates.jax.distributions.ExpInverseGamma
• tfp.substrates.jax.distributions.ExpRelaxedOneHotCategorical
• tfp.substrates.jax.distributions.Exponential
• tfp.substrates.jax.distributions.ExponentiallyModifiedGaussian
• tfp.substrates.jax.distributions.FiniteDiscrete
• tfp.substrates.jax.distributions.Gamma
• tfp.substrates.jax.distributions.GammaGamma
• tfp.substrates.jax.distributions.GaussianProcess
• tfp.substrates.jax.distributions.GaussianProcessRegressionModel
• tfp.substrates.jax.distributions.GeneralizedExtremeValue
• tfp.substrates.jax.distributions.GeneralizedNormal
• tfp.substrates.jax.distributions.GeneralizedPareto
• tfp.substrates.jax.distributions.Geometric
• tfp.substrates.jax.distributions.Gumbel
• tfp.substrates.jax.distributions.HalfCauchy
• tfp.substrates.jax.distributions.HalfNormal
• tfp.substrates.jax.distributions.HalfStudentT
• tfp.substrates.jax.distributions.HiddenMarkovModel
• tfp.substrates.jax.distributions.Horseshoe
• tfp.substrates.jax.distributions.Independent
• tfp.substrates.jax.distributions.Inflated
• tfp.substrates.jax.distributions.InverseGamma
• tfp.substrates.jax.distributions.InverseGaussian
• tfp.substrates.jax.distributions.JohnsonSU
• tfp.substrates.jax.distributions.JointDistribution
• tfp.substrates.jax.distributions.JointDistribution.Root
• tfp.substrates.jax.distributions.JointDistributionCoroutine
• tfp.substrates.jax.distributions.JointDistributionCoroutine.Root
• tfp.substrates.jax.distributions.JointDistributionCoroutineAutoBatched
• tfp.substrates.jax.distributions.JointDistributionCoroutineAutoBatched.Root
• tfp.substrates.jax.distributions.JointDistributionNamed
• tfp.substrates.jax.distributions.JointDistributionNamed.Root
• tfp.substrates.jax.distributions.JointDistributionNamedAutoBatched
• tfp.substrates.jax.distributions.JointDistributionNamedAutoBatched.Root
• tfp.substrates.jax.distributions.JointDistributionSequential
• tfp.substrates.jax.distributions.JointDistributionSequential.Root
• tfp.substrates.jax.distributions.JointDistributionSequentialAutoBatched
• tfp.substrates.jax.distributions.JointDistributionSequentialAutoBatched.Root
• tfp.substrates.jax.distributions.Kumaraswamy
• tfp.substrates.jax.distributions.LKJ
• tfp.substrates.jax.distributions.LambertWDistribution
• tfp.substrates.jax.distributions.LambertWNormal
• tfp.substrates.jax.distributions.Laplace
• tfp.substrates.jax.distributions.LinearGaussianStateSpaceModel
• tfp.substrates.jax.distributions.LogLogistic
• tfp.substrates.jax.distributions.LogNormal
• tfp.substrates.jax.distributions.Logistic
• tfp.substrates.jax.distributions.LogitNormal
• tfp.substrates.jax.distributions.MarkovChain
• tfp.substrates.jax.distributions.Masked
• tfp.substrates.jax.distributions.MatrixNormalLinearOperator
• tfp.substrates.jax.distributions.MatrixTLinearOperator
• tfp.substrates.jax.distributions.Mixture
• tfp.substrates.jax.distributions.MixtureSameFamily
• tfp.substrates.jax.distributions.Moyal
• tfp.substrates.jax.distributions.Multinomial
• tfp.substrates.jax.distributions.MultivariateNormalDiag
• tfp.substrates.jax.distributions.MultivariateNormalDiagPlusLowRank
• tfp.substrates.jax.distributions.MultivariateNormalDiagPlusLowRankCovariance
• tfp.substrates.jax.distributions.MultivariateNormalFullCovariance
• tfp.substrates.jax.distributions.MultivariateNormalLinearOperator
• tfp.substrates.jax.distributions.MultivariateNormalTriL
• tfp.substrates.jax.distributions.MultivariateStudentTLinearOperator
• tfp.substrates.jax.distributions.NegativeBinomial
• tfp.substrates.jax.distributions.NoncentralChi2
• tfp.substrates.jax.distributions.Normal
• tfp.substrates.jax.distributions.NormalInverseGaussian
• tfp.substrates.jax.distributions.OneHotCategorical
• tfp.substrates.jax.distributions.OrderedLogistic
• tfp.substrates.jax.distributions.PERT
• tfp.substrates.jax.distributions.Pareto
• tfp.substrates.jax.distributions.PlackettLuce
• tfp.substrates.jax.distributions.Poisson
• tfp.substrates.jax.distributions.PoissonLogNormalQuadratureCompound
• tfp.substrates.jax.distributions.PowerSpherical
• tfp.substrates.jax.distributions.ProbitBernoulli
• tfp.substrates.jax.distributions.QuantizedDistribution
• tfp.substrates.jax.distributions.RegisterKL
• tfp.substrates.jax.distributions.RelaxedBernoulli
• tfp.substrates.jax.distributions.RelaxedOneHotCategorical
• tfp.substrates.jax.distributions.ReparameterizationType
• tfp.substrates.jax.distributions.Sample
• tfp.substrates.jax.distributions.SigmoidBeta
• tfp.substrates.jax.distributions.SinhArcsinh
• tfp.substrates.jax.distributions.Skellam
• tfp.substrates.jax.distributions.SphericalUniform
• tfp.substrates.jax.distributions.StoppingRatioLogistic
• tfp.substrates.jax.distributions.StudentT
• tfp.substrates.jax.distributions.StudentTProcess
• tfp.substrates.jax.distributions.StudentTProcessRegressionModel
• tfp.substrates.jax.distributions.TransformedDistribution
• tfp.substrates.jax.distributions.Triangular
• tfp.substrates.jax.distributions.TruncatedCauchy
• tfp.substrates.jax.distributions.TruncatedNormal
• tfp.substrates.jax.distributions.TwoPieceNormal
• tfp.substrates.jax.distributions.TwoPieceStudentT
• tfp.substrates.jax.distributions.Uniform
• tfp.substrates.jax.distributions.VariationalGaussianProcess
• tfp.substrates.jax.distributions.VectorDeterministic
• tfp.substrates.jax.distributions.VonMises
• tfp.substrates.jax.distributions.VonMisesFisher
• tfp.substrates.jax.distributions.Weibull
• tfp.substrates.jax.distributions.WishartLinearOperator
• tfp.substrates.jax.distributions.WishartTriL
• tfp.substrates.jax.distributions.ZeroInflatedNegativeBinomial
• tfp.substrates.jax.distributions.Zipf
• tfp.substrates.jax.distributions.independent_joint_distribution_from_structure
• tfp.substrates.jax.distributions.kl_divergence
• tfp.substrates.jax.distributions.mvn_conjugate_linear_update
• tfp.substrates.jax.distributions.normal_conjugates_known_scale_posterior
• tfp.substrates.jax.distributions.normal_conjugates_known_scale_predictive
• tfp.substrates.jax.distributions.quadrature_scheme_lognormal_gauss_hermite
• tfp.substrates.jax.distributions.quadrature_scheme_lognormal_quantiles
• tfp.substrates.jax.glm
• tfp.substrates.jax.glm.Bernoulli
• tfp.substrates.jax.glm.BernoulliNormalCDF
• tfp.substrates.jax.glm.Binomial
• tfp.substrates.jax.glm.CustomExponentialFamily
• tfp.substrates.jax.glm.ExponentialFamily
• tfp.substrates.jax.glm.GammaExp
• tfp.substrates.jax.glm.GammaSoftplus
• tfp.substrates.jax.glm.LogNormal
• tfp.substrates.jax.glm.LogNormalSoftplus
• tfp.substrates.jax.glm.NegativeBinomial
• tfp.substrates.jax.glm.NegativeBinomialSoftplus
• tfp.substrates.jax.glm.Normal
• tfp.substrates.jax.glm.NormalReciprocal
• tfp.substrates.jax.glm.Poisson
• tfp.substrates.jax.glm.PoissonSoftplus
• tfp.substrates.jax.glm.compute_predicted_linear_response
• tfp.substrates.jax.glm.convergence_criteria_small_relative_norm_weights_change
• tfp.substrates.jax.glm.fit
• tfp.substrates.jax.glm.fit_one_step
• tfp.substrates.jax.math
• tfp.substrates.jax.math.MinimizeTraceableQuantities
• tfp.substrates.jax.math.atan_difference
• tfp.substrates.jax.math.batch_interp_rectilinear_nd_grid
• tfp.substrates.jax.math.batch_interp_regular_1d_grid
• tfp.substrates.jax.math.batch_interp_regular_nd_grid
• tfp.substrates.jax.math.bessel_iv_ratio
• tfp.substrates.jax.math.bessel_ive
• tfp.substrates.jax.math.bessel_kve
• tfp.substrates.jax.math.betainc
• tfp.substrates.jax.math.betaincinv
• tfp.substrates.jax.math.bracket_root
• tfp.substrates.jax.math.cholesky_concat
• tfp.substrates.jax.math.cholesky_update
• tfp.substrates.jax.math.clip_by_value_preserve_gradient
• tfp.substrates.jax.math.custom_gradient
• tfp.substrates.jax.math.dawsn
• tfp.substrates.jax.math.diag_jacobian
• tfp.substrates.jax.math.erfcinv
• tfp.substrates.jax.math.erfcx
• tfp.substrates.jax.math.fill_triangular
• tfp.substrates.jax.math.fill_triangular_inverse
• tfp.substrates.jax.math.find_root_chandrupatla
• tfp.substrates.jax.math.find_root_secant
• tfp.substrates.jax.math.gram_schmidt
• tfp.substrates.jax.math.hpsd_logdet
• tfp.substrates.jax.math.hpsd_quadratic_form_solve
• tfp.substrates.jax.math.hpsd_quadratic_form_solvevec
• tfp.substrates.jax.math.hpsd_solve
• tfp.substrates.jax.math.hpsd_solvevec
• tfp.substrates.jax.math.hypergeometric
• tfp.substrates.jax.math.hypergeometric.hyp2f1_small_argument
• tfp.substrates.jax.math.igammacinv
• tfp.substrates.jax.math.igammainv
• tfp.substrates.jax.math.interp_regular_1d_grid
• tfp.substrates.jax.math.lambertw
• tfp.substrates.jax.math.lambertw_winitzki_approx
• tfp.substrates.jax.math.lbeta
• tfp.substrates.jax.math.log1mexp
• tfp.substrates.jax.math.log1psquare
• tfp.substrates.jax.math.log_add_exp
• tfp.substrates.jax.math.log_bessel_ive
• tfp.substrates.jax.math.log_bessel_kve
• tfp.substrates.jax.math.log_combinations
• tfp.substrates.jax.math.log_cosh
• tfp.substrates.jax.math.log_cumsum_exp
• tfp.substrates.jax.math.log_gamma_correction
• tfp.substrates.jax.math.log_gamma_difference
• tfp.substrates.jax.math.log_sub_exp
• tfp.substrates.jax.math.logerfc
• tfp.substrates.jax.math.logerfcx
• tfp.substrates.jax.math.low_rank_cholesky
• tfp.substrates.jax.math.lu_matrix_inverse
• tfp.substrates.jax.math.lu_reconstruct
• tfp.substrates.jax.math.lu_solve
• tfp.substrates.jax.math.minimize
• tfp.substrates.jax.math.minimize_stateless
• tfp.substrates.jax.math.ode
• tfp.substrates.jax.math.ode.BDF
• tfp.substrates.jax.math.ode.ChosenBySolver
• tfp.substrates.jax.math.ode.Diagnostics
• tfp.substrates.jax.math.ode.DormandPrince
• tfp.substrates.jax.math.ode.Results
• tfp.substrates.jax.math.ode.Solver
• tfp.substrates.jax.math.owens_t
• tfp.substrates.jax.math.pivoted_cholesky
• tfp.substrates.jax.math.psd_kernels
• tfp.substrates.jax.math.psd_kernels.AutoCompositeTensorPsdKernel
• tfp.substrates.jax.math.psd_kernels.ChangePoint
• tfp.substrates.jax.math.psd_kernels.Constant
• tfp.substrates.jax.math.psd_kernels.ExpSinSquared
• tfp.substrates.jax.math.psd_kernels.ExponentialCurve
• tfp.substrates.jax.math.psd_kernels.ExponentiatedQuadratic
• tfp.substrates.jax.math.psd_kernels.FeatureScaled
• tfp.substrates.jax.math.psd_kernels.FeatureTransformed
• tfp.substrates.jax.math.psd_kernels.GammaExponential
• tfp.substrates.jax.math.psd_kernels.GeneralizedMatern
• tfp.substrates.jax.math.psd_kernels.KumaraswamyTransformed
• tfp.substrates.jax.math.psd_kernels.Linear
• tfp.substrates.jax.math.psd_kernels.MaternFiveHalves
• tfp.substrates.jax.math.psd_kernels.MaternOneHalf
• tfp.substrates.jax.math.psd_kernels.MaternThreeHalves
• tfp.substrates.jax.math.psd_kernels.Parabolic
• tfp.substrates.jax.math.psd_kernels.PointwiseExponential
• tfp.substrates.jax.math.psd_kernels.Polynomial
• tfp.substrates.jax.math.psd_kernels.PositiveSemidefiniteKernel
• tfp.substrates.jax.math.psd_kernels.RationalQuadratic
• tfp.substrates.jax.math.psd_kernels.SchurComplement
• tfp.substrates.jax.math.psd_kernels.SpectralMixture
• tfp.substrates.jax.math.reduce_kahan_sum
• tfp.substrates.jax.math.reduce_log_harmonic_mean_exp
• tfp.substrates.jax.math.reduce_logmeanexp
• tfp.substrates.jax.math.reduce_weighted_logsumexp
• tfp.substrates.jax.math.round_exponential_bump_function
• tfp.substrates.jax.math.scan_associative
• tfp.substrates.jax.math.secant_root
• tfp.substrates.jax.math.smootherstep
• tfp.substrates.jax.math.soft_sorting_matrix
• tfp.substrates.jax.math.soft_threshold
• tfp.substrates.jax.math.softplus_inverse
• tfp.substrates.jax.math.sparse_or_dense_matmul
• tfp.substrates.jax.math.sparse_or_dense_matvecmul
• tfp.substrates.jax.math.sqrt1pm1
• tfp.substrates.jax.math.trapz
• tfp.substrates.jax.math.value_and_gradient
• tfp.substrates.jax.mcmc
• tfp.substrates.jax.mcmc.CheckpointableStatesAndTrace
• tfp.substrates.jax.mcmc.DualAveragingStepSizeAdaptation
• tfp.substrates.jax.mcmc.HamiltonianMonteCarlo
• tfp.substrates.jax.mcmc.MetropolisAdjustedLangevinAlgorithm
• tfp.substrates.jax.mcmc.MetropolisHastings
• tfp.substrates.jax.mcmc.NoUTurnSampler
• tfp.substrates.jax.mcmc.RandomWalkMetropolis
• tfp.substrates.jax.mcmc.ReplicaExchangeMC
• tfp.substrates.jax.mcmc.SimpleStepSizeAdaptation
• tfp.substrates.jax.mcmc.SliceSampler
• tfp.substrates.jax.mcmc.StatesAndTrace
• tfp.substrates.jax.mcmc.TransformedTransitionKernel
• tfp.substrates.jax.mcmc.TransitionKernel
• tfp.substrates.jax.mcmc.UncalibratedHamiltonianMonteCarlo
• tfp.substrates.jax.mcmc.UncalibratedLangevin
• tfp.substrates.jax.mcmc.UncalibratedRandomWalk
• tfp.substrates.jax.mcmc.default_swap_proposal_fn
• tfp.substrates.jax.mcmc.effective_sample_size
• tfp.substrates.jax.mcmc.even_odd_swap_proposal_fn
• tfp.substrates.jax.mcmc.make_simple_step_size_update_policy
• tfp.substrates.jax.mcmc.potential_scale_reduction
• tfp.substrates.jax.mcmc.random_walk_normal_fn
• tfp.substrates.jax.mcmc.random_walk_uniform_fn
• tfp.substrates.jax.mcmc.sample_annealed_importance_chain
• tfp.substrates.jax.mcmc.sample_chain
• tfp.substrates.jax.mcmc.sample_halton_sequence
• tfp.substrates.jax.monte_carlo
• tfp.substrates.jax.monte_carlo.expectation
• tfp.substrates.jax.optimizer
• tfp.substrates.jax.optimizer.bfgs_minimize
• tfp.substrates.jax.optimizer.converged_all
• tfp.substrates.jax.optimizer.converged_any
• tfp.substrates.jax.optimizer.convergence_criteria
• tfp.substrates.jax.optimizer.convergence_criteria.ConvergenceCriterion
• tfp.substrates.jax.optimizer.convergence_criteria.LossNotDecreasing
• tfp.substrates.jax.optimizer.convergence_criteria.SuccessiveGradientsAreUncorrelated
• tfp.substrates.jax.optimizer.lbfgs_minimize
• tfp.substrates.jax.optimizer.linesearch
• tfp.substrates.jax.optimizer.linesearch.hager_zhang
• tfp.substrates.jax.optimizer.nelder_mead_minimize
• tfp.substrates.jax.optimizer.nelder_mead_one_step
• tfp.substrates.jax.random
• tfp.substrates.jax.random.rademacher
• tfp.substrates.jax.random.rayleigh
• tfp.substrates.jax.random.sanitize_seed
• tfp.substrates.jax.random.spherical_uniform
• tfp.substrates.jax.random.split_seed
• tfp.substrates.jax.stats
• tfp.substrates.jax.stats.assign_log_moving_mean_exp
• tfp.substrates.jax.stats.assign_moving_mean_variance
• tfp.substrates.jax.stats.auto_correlation
• tfp.substrates.jax.stats.brier_decomposition
• tfp.substrates.jax.stats.brier_score
• tfp.substrates.jax.stats.cholesky_covariance
• tfp.substrates.jax.stats.correlation
• tfp.substrates.jax.stats.count_integers
• tfp.substrates.jax.stats.covariance
• tfp.substrates.jax.stats.cumulative_variance
• tfp.substrates.jax.stats.expected_calibration_error
• tfp.substrates.jax.stats.expected_calibration_error_quantiles
• tfp.substrates.jax.stats.find_bins
• tfp.substrates.jax.stats.histogram
• tfp.substrates.jax.stats.kendalls_tau
• tfp.substrates.jax.stats.log_average_probs
• tfp.substrates.jax.stats.log_loomean_exp
• tfp.substrates.jax.stats.log_loosum_exp
• tfp.substrates.jax.stats.log_soomean_exp
• tfp.substrates.jax.stats.log_soosum_exp
• tfp.substrates.jax.stats.moving_mean_variance_zero_debiased
• tfp.substrates.jax.stats.percentile
• tfp.substrates.jax.stats.quantiles
• tfp.substrates.jax.stats.stddev
• tfp.substrates.jax.stats.variance
• tfp.substrates.jax.stats.windowed_mean
• tfp.substrates.jax.stats.windowed_variance
• tfp.substrates.jax.sts
• tfp.substrates.jax.sts.AdditiveStateSpaceModel
• tfp.substrates.jax.sts.Autoregressive
• tfp.substrates.jax.sts.AutoregressiveIntegratedMovingAverage
• tfp.substrates.jax.sts.AutoregressiveMovingAverageStateSpaceModel
• tfp.substrates.jax.sts.AutoregressiveStateSpaceModel
• tfp.substrates.jax.sts.ConstrainedSeasonalStateSpaceModel
• tfp.substrates.jax.sts.DynamicLinearRegression
• tfp.substrates.jax.sts.DynamicLinearRegressionStateSpaceModel
• tfp.substrates.jax.sts.IntegratedStateSpaceModel
• tfp.substrates.jax.sts.LinearRegression
• tfp.substrates.jax.sts.LocalLevel
• tfp.substrates.jax.sts.LocalLevelStateSpaceModel
• tfp.substrates.jax.sts.LocalLinearTrend
• tfp.substrates.jax.sts.LocalLinearTrendStateSpaceModel
• tfp.substrates.jax.sts.MaskedTimeSeries
• tfp.substrates.jax.sts.MissingValuesTolerance
• tfp.substrates.jax.sts.Seasonal
• tfp.substrates.jax.sts.SeasonalStateSpaceModel
• tfp.substrates.jax.sts.SemiLocalLinearTrend
• tfp.substrates.jax.sts.SemiLocalLinearTrendStateSpaceModel
• tfp.substrates.jax.sts.SmoothSeasonal
• tfp.substrates.jax.sts.SmoothSeasonalStateSpaceModel
• tfp.substrates.jax.sts.SparseLinearRegression
• tfp.substrates.jax.sts.StructuralTimeSeries
• tfp.substrates.jax.sts.Sum
• tfp.substrates.jax.sts.build_factored_surrogate_posterior
• tfp.substrates.jax.sts.build_factored_surrogate_posterior_stateless
• tfp.substrates.jax.sts.decompose_by_component
• tfp.substrates.jax.sts.decompose_forecast_by_component
• tfp.substrates.jax.sts.fit_with_hmc
• tfp.substrates.jax.sts.forecast
• tfp.substrates.jax.sts.impute_missing_values
• tfp.substrates.jax.sts.moments_of_masked_time_series
• tfp.substrates.jax.sts.one_step_predictive
• tfp.substrates.jax.sts.regularize_series
• tfp.substrates.jax.sts.sample_uniform_initial_state
• tfp.substrates.jax.util
• tfp.substrates.jax.util.BatchedComponentProperties
• tfp.substrates.jax.util.DeferredTensor
• tfp.substrates.jax.util.ParameterProperties
• tfp.substrates.jax.util.SeedStream
• tfp.substrates.jax.util.TransformedVariable
• tfp.substrates.jax.vi
• tfp.substrates.jax.vi.GradientEstimators
• tfp.substrates.jax.vi.amari_alpha
• tfp.substrates.jax.vi.arithmetic_geometric
• tfp.substrates.jax.vi.chi_square
• tfp.substrates.jax.vi.csiszar_vimco
• tfp.substrates.jax.vi.dual_csiszar_function
• tfp.substrates.jax.vi.fit_surrogate_posterior_stateless
• tfp.substrates.jax.vi.jeffreys
• tfp.substrates.jax.vi.jensen_shannon
• tfp.substrates.jax.vi.kl_forward
• tfp.substrates.jax.vi.kl_reverse
• tfp.substrates.jax.vi.log1p_abs
• tfp.substrates.jax.vi.modified_gan
• tfp.substrates.jax.vi.monte_carlo_variational_loss
• tfp.substrates.jax.vi.pearson
• tfp.substrates.jax.vi.squared_hellinger
• tfp.substrates.jax.vi.symmetrized_csiszar_function
• tfp.substrates.jax.vi.t_power
• tfp.substrates.jax.vi.total_variation
• tfp.substrates.jax.vi.triangular
• tfp.substrates.numpy
• tfp.substrates.numpy.bijectors
• tfp.substrates.numpy.bijectors.AbsoluteValue
• tfp.substrates.numpy.bijectors.Ascending
• tfp.substrates.numpy.bijectors.AutoCompositeTensorBijector
• tfp.substrates.numpy.bijectors.AutoregressiveNetwork
• tfp.substrates.numpy.bijectors.Bijector
• tfp.substrates.numpy.bijectors.Blockwise
• tfp.substrates.numpy.bijectors.Chain
• tfp.substrates.numpy.bijectors.CholeskyOuterProduct
• tfp.substrates.numpy.bijectors.CholeskyToInvCholesky
• tfp.substrates.numpy.bijectors.Composition
• tfp.substrates.numpy.bijectors.CorrelationCholesky
• tfp.substrates.numpy.bijectors.Cumsum
• tfp.substrates.numpy.bijectors.Exp
• tfp.substrates.numpy.bijectors.Expm1
• tfp.substrates.numpy.bijectors.FFJORD
• tfp.substrates.numpy.bijectors.FillScaleTriL
• tfp.substrates.numpy.bijectors.FillTriangular
• tfp.substrates.numpy.bijectors.FrechetCDF
• tfp.substrates.numpy.bijectors.GeneralizedExtremeValueCDF
• tfp.substrates.numpy.bijectors.GeneralizedPareto
• tfp.substrates.numpy.bijectors.GompertzCDF
• tfp.substrates.numpy.bijectors.GumbelCDF
• tfp.substrates.numpy.bijectors.Householder
• tfp.substrates.numpy.bijectors.Identity
• tfp.substrates.numpy.bijectors.Inline
• tfp.substrates.numpy.bijectors.Invert
• tfp.substrates.numpy.bijectors.IteratedSigmoidCentered
• tfp.substrates.numpy.bijectors.JointMap
• tfp.substrates.numpy.bijectors.KumaraswamyCDF
• tfp.substrates.numpy.bijectors.LambertWTail
• tfp.substrates.numpy.bijectors.Log
• tfp.substrates.numpy.bijectors.Log1p
• tfp.substrates.numpy.bijectors.MaskedAutoregressiveFlow
• tfp.substrates.numpy.bijectors.MatrixInverseTriL
• tfp.substrates.numpy.bijectors.MatvecLU
• tfp.substrates.numpy.bijectors.MoyalCDF
• tfp.substrates.numpy.bijectors.NormalCDF
• tfp.substrates.numpy.bijectors.Pad
• tfp.substrates.numpy.bijectors.Permute
• tfp.substrates.numpy.bijectors.Power
• tfp.substrates.numpy.bijectors.PowerTransform
• tfp.substrates.numpy.bijectors.RationalQuadraticSpline
• tfp.substrates.numpy.bijectors.RayleighCDF
• tfp.substrates.numpy.bijectors.RealNVP
• tfp.substrates.numpy.bijectors.Reciprocal
• tfp.substrates.numpy.bijectors.Reshape
• tfp.substrates.numpy.bijectors.Restructure
• tfp.substrates.numpy.bijectors.Scale
• tfp.substrates.numpy.bijectors.ScaleMatvecDiag
• tfp.substrates.numpy.bijectors.ScaleMatvecLU
• tfp.substrates.numpy.bijectors.ScaleMatvecLinearOperator
• tfp.substrates.numpy.bijectors.ScaleMatvecLinearOperatorBlock
• tfp.substrates.numpy.bijectors.ScaleMatvecTriL
• tfp.substrates.numpy.bijectors.Shift
• tfp.substrates.numpy.bijectors.ShiftedGompertzCDF
• tfp.substrates.numpy.bijectors.Sigmoid
• tfp.substrates.numpy.bijectors.Sinh
• tfp.substrates.numpy.bijectors.SinhArcsinh
• tfp.substrates.numpy.bijectors.SoftClip
• tfp.substrates.numpy.bijectors.Softfloor
• tfp.substrates.numpy.bijectors.SoftmaxCentered
• tfp.substrates.numpy.bijectors.Softplus
• tfp.substrates.numpy.bijectors.Softsign
• tfp.substrates.numpy.bijectors.Split
• tfp.substrates.numpy.bijectors.Square
• tfp.substrates.numpy.bijectors.Tanh
• tfp.substrates.numpy.bijectors.TransformDiagonal
• tfp.substrates.numpy.bijectors.Transpose
• tfp.substrates.numpy.bijectors.UnitVector
• tfp.substrates.numpy.bijectors.WeibullCDF
• tfp.substrates.numpy.bijectors.masked_autoregressive_default_template
• tfp.substrates.numpy.bijectors.masked_dense
• tfp.substrates.numpy.bijectors.pack_sequence_as
• tfp.substrates.numpy.bijectors.real_nvp_default_template
• tfp.substrates.numpy.bijectors.tree_flatten
• tfp.substrates.numpy.distributions
• tfp.substrates.numpy.distributions.AutoCompositeTensorDistribution
• tfp.substrates.numpy.distributions.Autoregressive
• tfp.substrates.numpy.distributions.BatchBroadcast
• tfp.substrates.numpy.distributions.BatchReshape
• tfp.substrates.numpy.distributions.Bates
• tfp.substrates.numpy.distributions.Bernoulli
• tfp.substrates.numpy.distributions.Beta
• tfp.substrates.numpy.distributions.BetaBinomial
• tfp.substrates.numpy.distributions.BetaQuotient
• tfp.substrates.numpy.distributions.Binomial
• tfp.substrates.numpy.distributions.Blockwise
• tfp.substrates.numpy.distributions.Categorical
• tfp.substrates.numpy.distributions.Cauchy
• tfp.substrates.numpy.distributions.Chi
• tfp.substrates.numpy.distributions.Chi2
• tfp.substrates.numpy.distributions.CholeskyLKJ
• tfp.substrates.numpy.distributions.DeterminantalPointProcess
• tfp.substrates.numpy.distributions.Deterministic
• tfp.substrates.numpy.distributions.Dirichlet
• tfp.substrates.numpy.distributions.DirichletMultinomial
• tfp.substrates.numpy.distributions.Distribution
• tfp.substrates.numpy.distributions.DoublesidedMaxwell
• tfp.substrates.numpy.distributions.Empirical
• tfp.substrates.numpy.distributions.ExpGamma
• tfp.substrates.numpy.distributions.ExpInverseGamma
• tfp.substrates.numpy.distributions.ExpRelaxedOneHotCategorical
• tfp.substrates.numpy.distributions.Exponential
• tfp.substrates.numpy.distributions.ExponentiallyModifiedGaussian
• tfp.substrates.numpy.distributions.FiniteDiscrete
• tfp.substrates.numpy.distributions.Gamma
• tfp.substrates.numpy.distributions.GammaGamma
• tfp.substrates.numpy.distributions.GaussianProcess
• tfp.substrates.numpy.distributions.GaussianProcessRegressionModel
• tfp.substrates.numpy.distributions.GeneralizedExtremeValue
• tfp.substrates.numpy.distributions.GeneralizedNormal
• tfp.substrates.numpy.distributions.GeneralizedPareto
• tfp.substrates.numpy.distributions.Geometric
• tfp.substrates.numpy.distributions.Gumbel
• tfp.substrates.numpy.distributions.HalfCauchy
• tfp.substrates.numpy.distributions.HalfNormal
• tfp.substrates.numpy.distributions.HalfStudentT
• tfp.substrates.numpy.distributions.HiddenMarkovModel
• tfp.substrates.numpy.distributions.Horseshoe
• tfp.substrates.numpy.distributions.Independent
• tfp.substrates.numpy.distributions.Inflated
• tfp.substrates.numpy.distributions.InverseGamma
• tfp.substrates.numpy.distributions.InverseGaussian
• tfp.substrates.numpy.distributions.JohnsonSU
• tfp.substrates.numpy.distributions.JointDistribution
• tfp.substrates.numpy.distributions.JointDistribution.Root
• tfp.substrates.numpy.distributions.JointDistributionCoroutine
• tfp.substrates.numpy.distributions.JointDistributionCoroutine.Root
• tfp.substrates.numpy.distributions.JointDistributionCoroutineAutoBatched
• tfp.substrates.numpy.distributions.JointDistributionCoroutineAutoBatched.Root
• tfp.substrates.numpy.distributions.JointDistributionNamed
• tfp.substrates.numpy.distributions.JointDistributionNamed.Root
• tfp.substrates.numpy.distributions.JointDistributionNamedAutoBatched
• tfp.substrates.numpy.distributions.JointDistributionNamedAutoBatched.Root
• tfp.substrates.numpy.distributions.JointDistributionSequential
• tfp.substrates.numpy.distributions.JointDistributionSequential.Root
• tfp.substrates.numpy.distributions.JointDistributionSequentialAutoBatched
• tfp.substrates.numpy.distributions.JointDistributionSequentialAutoBatched.Root
• tfp.substrates.numpy.distributions.Kumaraswamy
• tfp.substrates.numpy.distributions.LKJ
• tfp.substrates.numpy.distributions.LambertWDistribution
• tfp.substrates.numpy.distributions.LambertWNormal
• tfp.substrates.numpy.distributions.Laplace
• tfp.substrates.numpy.distributions.LinearGaussianStateSpaceModel
• tfp.substrates.numpy.distributions.LogLogistic
• tfp.substrates.numpy.distributions.LogNormal
• tfp.substrates.numpy.distributions.Logistic
• tfp.substrates.numpy.distributions.LogitNormal
• tfp.substrates.numpy.distributions.MarkovChain
• tfp.substrates.numpy.distributions.Masked
• tfp.substrates.numpy.distributions.MatrixNormalLinearOperator
• tfp.substrates.numpy.distributions.MatrixTLinearOperator
• tfp.substrates.numpy.distributions.Mixture
• tfp.substrates.numpy.distributions.MixtureSameFamily
• tfp.substrates.numpy.distributions.Moyal
• tfp.substrates.numpy.distributions.Multinomial
• tfp.substrates.numpy.distributions.MultivariateNormalDiag
• tfp.substrates.numpy.distributions.MultivariateNormalDiagPlusLowRank
• tfp.substrates.numpy.distributions.MultivariateNormalDiagPlusLowRankCovariance
• tfp.substrates.numpy.distributions.MultivariateNormalFullCovariance
• tfp.substrates.numpy.distributions.MultivariateNormalLinearOperator
• tfp.substrates.numpy.distributions.MultivariateNormalTriL
• tfp.substrates.numpy.distributions.MultivariateStudentTLinearOperator
• tfp.substrates.numpy.distributions.NegativeBinomial
• tfp.substrates.numpy.distributions.NoncentralChi2
• tfp.substrates.numpy.distributions.Normal
• tfp.substrates.numpy.distributions.NormalInverseGaussian
• tfp.substrates.numpy.distributions.OneHotCategorical
• tfp.substrates.numpy.distributions.OrderedLogistic
• tfp.substrates.numpy.distributions.PERT
• tfp.substrates.numpy.distributions.Pareto
• tfp.substrates.numpy.distributions.PlackettLuce
• tfp.substrates.numpy.distributions.Poisson
• tfp.substrates.numpy.distributions.PoissonLogNormalQuadratureCompound
• tfp.substrates.numpy.distributions.PowerSpherical
• tfp.substrates.numpy.distributions.ProbitBernoulli
• tfp.substrates.numpy.distributions.QuantizedDistribution
• tfp.substrates.numpy.distributions.RegisterKL
• tfp.substrates.numpy.distributions.RelaxedBernoulli
• tfp.substrates.numpy.distributions.RelaxedOneHotCategorical
• tfp.substrates.numpy.distributions.ReparameterizationType
• tfp.substrates.numpy.distributions.Sample
• tfp.substrates.numpy.distributions.SigmoidBeta
• tfp.substrates.numpy.distributions.SinhArcsinh
• tfp.substrates.numpy.distributions.Skellam
• tfp.substrates.numpy.distributions.SphericalUniform
• tfp.substrates.numpy.distributions.StoppingRatioLogistic
• tfp.substrates.numpy.distributions.StudentT
• tfp.substrates.numpy.distributions.StudentTProcess
• tfp.substrates.numpy.distributions.StudentTProcessRegressionModel
• tfp.substrates.numpy.distributions.TransformedDistribution
• tfp.substrates.numpy.distributions.Triangular
• tfp.substrates.numpy.distributions.TruncatedCauchy
• tfp.substrates.numpy.distributions.TruncatedNormal
• tfp.substrates.numpy.distributions.TwoPieceNormal
• tfp.substrates.numpy.distributions.TwoPieceStudentT
• tfp.substrates.numpy.distributions.Uniform
• tfp.substrates.numpy.distributions.VariationalGaussianProcess
• tfp.substrates.numpy.distributions.VectorDeterministic
• tfp.substrates.numpy.distributions.VonMises
• tfp.substrates.numpy.distributions.VonMisesFisher
• tfp.substrates.numpy.distributions.Weibull
• tfp.substrates.numpy.distributions.WishartLinearOperator
• tfp.substrates.numpy.distributions.WishartTriL
• tfp.substrates.numpy.distributions.ZeroInflatedNegativeBinomial
• tfp.substrates.numpy.distributions.Zipf
• tfp.substrates.numpy.distributions.independent_joint_distribution_from_structure
• tfp.substrates.numpy.distributions.kl_divergence
• tfp.substrates.numpy.distributions.mvn_conjugate_linear_update
• tfp.substrates.numpy.distributions.normal_conjugates_known_scale_posterior
• tfp.substrates.numpy.distributions.normal_conjugates_known_scale_predictive
• tfp.substrates.numpy.distributions.quadrature_scheme_lognormal_gauss_hermite
• tfp.substrates.numpy.distributions.quadrature_scheme_lognormal_quantiles
• tfp.substrates.numpy.glm
• tfp.substrates.numpy.glm.Bernoulli
• tfp.substrates.numpy.glm.BernoulliNormalCDF
• tfp.substrates.numpy.glm.Binomial
• tfp.substrates.numpy.glm.CustomExponentialFamily
• tfp.substrates.numpy.glm.ExponentialFamily
• tfp.substrates.numpy.glm.GammaExp
• tfp.substrates.numpy.glm.GammaSoftplus
• tfp.substrates.numpy.glm.LogNormal
• tfp.substrates.numpy.glm.LogNormalSoftplus
• tfp.substrates.numpy.glm.NegativeBinomial
• tfp.substrates.numpy.glm.NegativeBinomialSoftplus
• tfp.substrates.numpy.glm.Normal
• tfp.substrates.numpy.glm.NormalReciprocal
• tfp.substrates.numpy.glm.Poisson
• tfp.substrates.numpy.glm.PoissonSoftplus
• tfp.substrates.numpy.glm.compute_predicted_linear_response
• tfp.substrates.numpy.glm.convergence_criteria_small_relative_norm_weights_change
• tfp.substrates.numpy.glm.fit
• tfp.substrates.numpy.glm.fit_one_step
• tfp.substrates.numpy.math
• tfp.substrates.numpy.math.MinimizeTraceableQuantities
• tfp.substrates.numpy.math.atan_difference
• tfp.substrates.numpy.math.batch_interp_rectilinear_nd_grid
• tfp.substrates.numpy.math.batch_interp_regular_1d_grid
• tfp.substrates.numpy.math.batch_interp_regular_nd_grid
• tfp.substrates.numpy.math.bessel_iv_ratio
• tfp.substrates.numpy.math.bessel_ive
• tfp.substrates.numpy.math.bessel_kve
• tfp.substrates.numpy.math.betainc
• tfp.substrates.numpy.math.betaincinv
• tfp.substrates.numpy.math.bracket_root
• tfp.substrates.numpy.math.cholesky_concat
• tfp.substrates.numpy.math.cholesky_update
• tfp.substrates.numpy.math.clip_by_value_preserve_gradient
• tfp.substrates.numpy.math.custom_gradient
• tfp.substrates.numpy.math.dawsn
• tfp.substrates.numpy.math.diag_jacobian
• tfp.substrates.numpy.math.erfcinv
• tfp.substrates.numpy.math.erfcx
• tfp.substrates.numpy.math.fill_triangular
• tfp.substrates.numpy.math.fill_triangular_inverse
• tfp.substrates.numpy.math.find_root_chandrupatla
• tfp.substrates.numpy.math.find_root_secant
• tfp.substrates.numpy.math.gram_schmidt
• tfp.substrates.numpy.math.hpsd_logdet
• tfp.substrates.numpy.math.hpsd_quadratic_form_solve
• tfp.substrates.numpy.math.hpsd_quadratic_form_solvevec
• tfp.substrates.numpy.math.hpsd_solve
• tfp.substrates.numpy.math.hpsd_solvevec
• tfp.substrates.numpy.math.hypergeometric
• tfp.substrates.numpy.math.hypergeometric.hyp2f1_small_argument
• tfp.substrates.numpy.math.igammacinv
• tfp.substrates.numpy.math.igammainv
• tfp.substrates.numpy.math.interp_regular_1d_grid
• tfp.substrates.numpy.math.lambertw
• tfp.substrates.numpy.math.lambertw_winitzki_approx
• tfp.substrates.numpy.math.lbeta
• tfp.substrates.numpy.math.log1mexp
• tfp.substrates.numpy.math.log1psquare
• tfp.substrates.numpy.math.log_add_exp
• tfp.substrates.numpy.math.log_bessel_ive
• tfp.substrates.numpy.math.log_bessel_kve
• tfp.substrates.numpy.math.log_combinations
• tfp.substrates.numpy.math.log_cosh
• tfp.substrates.numpy.math.log_cumsum_exp
• tfp.substrates.numpy.math.log_gamma_correction
• tfp.substrates.numpy.math.log_gamma_difference
• tfp.substrates.numpy.math.log_sub_exp
• tfp.substrates.numpy.math.logerfc
• tfp.substrates.numpy.math.logerfcx
• tfp.substrates.numpy.math.low_rank_cholesky
• tfp.substrates.numpy.math.lu_matrix_inverse
• tfp.substrates.numpy.math.lu_reconstruct
• tfp.substrates.numpy.math.lu_solve
• tfp.substrates.numpy.math.minimize
• tfp.substrates.numpy.math.minimize_stateless
• tfp.substrates.numpy.math.ode
• tfp.substrates.numpy.math.ode.BDF
• tfp.substrates.numpy.math.ode.ChosenBySolver
• tfp.substrates.numpy.math.ode.Diagnostics
• tfp.substrates.numpy.math.ode.DormandPrince
• tfp.substrates.numpy.math.ode.Results
• tfp.substrates.numpy.math.ode.Solver
• tfp.substrates.numpy.math.owens_t
• tfp.substrates.numpy.math.pivoted_cholesky
• tfp.substrates.numpy.math.psd_kernels
• tfp.substrates.numpy.math.psd_kernels.AutoCompositeTensorPsdKernel
• tfp.substrates.numpy.math.psd_kernels.ChangePoint
• tfp.substrates.numpy.math.psd_kernels.Constant
• tfp.substrates.numpy.math.psd_kernels.ExpSinSquared
• tfp.substrates.numpy.math.psd_kernels.ExponentialCurve
• tfp.substrates.numpy.math.psd_kernels.ExponentiatedQuadratic
• tfp.substrates.numpy.math.psd_kernels.FeatureScaled
• tfp.substrates.numpy.math.psd_kernels.FeatureTransformed
• tfp.substrates.numpy.math.psd_kernels.GammaExponential
• tfp.substrates.numpy.math.psd_kernels.GeneralizedMatern
• tfp.substrates.numpy.math.psd_kernels.KumaraswamyTransformed
• tfp.substrates.numpy.math.psd_kernels.Linear
• tfp.substrates.numpy.math.psd_kernels.MaternFiveHalves
• tfp.substrates.numpy.math.psd_kernels.MaternOneHalf
• tfp.substrates.numpy.math.psd_kernels.MaternThreeHalves
• tfp.substrates.numpy.math.psd_kernels.Parabolic
• tfp.substrates.numpy.math.psd_kernels.PointwiseExponential
• tfp.substrates.numpy.math.psd_kernels.Polynomial
• tfp.substrates.numpy.math.psd_kernels.PositiveSemidefiniteKernel
• tfp.substrates.numpy.math.psd_kernels.RationalQuadratic
• tfp.substrates.numpy.math.psd_kernels.SchurComplement
• tfp.substrates.numpy.math.psd_kernels.SpectralMixture
• tfp.substrates.numpy.math.reduce_kahan_sum
• tfp.substrates.numpy.math.reduce_log_harmonic_mean_exp
• tfp.substrates.numpy.math.reduce_logmeanexp
• tfp.substrates.numpy.math.reduce_weighted_logsumexp
• tfp.substrates.numpy.math.round_exponential_bump_function
• tfp.substrates.numpy.math.scan_associative
• tfp.substrates.numpy.math.secant_root
• tfp.substrates.numpy.math.smootherstep
• tfp.substrates.numpy.math.soft_sorting_matrix
• tfp.substrates.numpy.math.soft_threshold
• tfp.substrates.numpy.math.softplus_inverse
• tfp.substrates.numpy.math.sparse_or_dense_matmul
• tfp.substrates.numpy.math.sparse_or_dense_matvecmul
• tfp.substrates.numpy.math.sqrt1pm1
• tfp.substrates.numpy.math.trapz
• tfp.substrates.numpy.math.value_and_gradient
• tfp.substrates.numpy.mcmc
• tfp.substrates.numpy.mcmc.CheckpointableStatesAndTrace
• tfp.substrates.numpy.mcmc.DualAveragingStepSizeAdaptation
• tfp.substrates.numpy.mcmc.MetropolisHastings
• tfp.substrates.numpy.mcmc.RandomWalkMetropolis
• tfp.substrates.numpy.mcmc.ReplicaExchangeMC
• tfp.substrates.numpy.mcmc.SimpleStepSizeAdaptation
• tfp.substrates.numpy.mcmc.SliceSampler
• tfp.substrates.numpy.mcmc.StatesAndTrace
• tfp.substrates.numpy.mcmc.TransformedTransitionKernel
• tfp.substrates.numpy.mcmc.TransitionKernel
• tfp.substrates.numpy.mcmc.UncalibratedRandomWalk
• tfp.substrates.numpy.mcmc.default_swap_proposal_fn
• tfp.substrates.numpy.mcmc.effective_sample_size
• tfp.substrates.numpy.mcmc.even_odd_swap_proposal_fn
• tfp.substrates.numpy.mcmc.potential_scale_reduction
• tfp.substrates.numpy.mcmc.random_walk_normal_fn
• tfp.substrates.numpy.mcmc.random_walk_uniform_fn
• tfp.substrates.numpy.mcmc.sample_annealed_importance_chain
• tfp.substrates.numpy.mcmc.sample_chain
• tfp.substrates.numpy.mcmc.sample_halton_sequence
• tfp.substrates.numpy.monte_carlo
• tfp.substrates.numpy.monte_carlo.expectation
• tfp.substrates.numpy.optimizer
• tfp.substrates.numpy.optimizer.bfgs_minimize
• tfp.substrates.numpy.optimizer.converged_all
• tfp.substrates.numpy.optimizer.converged_any
• tfp.substrates.numpy.optimizer.convergence_criteria
• tfp.substrates.numpy.optimizer.convergence_criteria.ConvergenceCriterion
• tfp.substrates.numpy.optimizer.convergence_criteria.LossNotDecreasing
• tfp.substrates.numpy.optimizer.convergence_criteria.SuccessiveGradientsAreUncorrelated
• tfp.substrates.numpy.optimizer.lbfgs_minimize
• tfp.substrates.numpy.optimizer.linesearch
• tfp.substrates.numpy.optimizer.linesearch.hager_zhang
• tfp.substrates.numpy.optimizer.nelder_mead_minimize
• tfp.substrates.numpy.optimizer.nelder_mead_one_step
• tfp.substrates.numpy.random
• tfp.substrates.numpy.random.rademacher
• tfp.substrates.numpy.random.rayleigh
• tfp.substrates.numpy.random.sanitize_seed
• tfp.substrates.numpy.random.spherical_uniform
• tfp.substrates.numpy.random.split_seed
• tfp.substrates.numpy.stats
• tfp.substrates.numpy.stats.assign_log_moving_mean_exp
• tfp.substrates.numpy.stats.assign_moving_mean_variance
• tfp.substrates.numpy.stats.auto_correlation
• tfp.substrates.numpy.stats.brier_decomposition
• tfp.substrates.numpy.stats.brier_score
• tfp.substrates.numpy.stats.cholesky_covariance
• tfp.substrates.numpy.stats.correlation
• tfp.substrates.numpy.stats.count_integers
• tfp.substrates.numpy.stats.covariance
• tfp.substrates.numpy.stats.cumulative_variance
• tfp.substrates.numpy.stats.expected_calibration_error
• tfp.substrates.numpy.stats.expected_calibration_error_quantiles
• tfp.substrates.numpy.stats.find_bins
• tfp.substrates.numpy.stats.histogram
• tfp.substrates.numpy.stats.kendalls_tau
• tfp.substrates.numpy.stats.log_average_probs
• tfp.substrates.numpy.stats.log_loomean_exp
• tfp.substrates.numpy.stats.log_loosum_exp
• tfp.substrates.numpy.stats.log_soomean_exp
• tfp.substrates.numpy.stats.log_soosum_exp
• tfp.substrates.numpy.stats.moving_mean_variance_zero_debiased
• tfp.substrates.numpy.stats.percentile
• tfp.substrates.numpy.stats.quantile_auc
• tfp.substrates.numpy.stats.quantiles
• tfp.substrates.numpy.stats.stddev
• tfp.substrates.numpy.stats.variance
• tfp.substrates.numpy.stats.windowed_mean
• tfp.substrates.numpy.stats.windowed_variance
• tfp.substrates.numpy.sts
• tfp.substrates.numpy.sts.AdditiveStateSpaceModel
• tfp.substrates.numpy.sts.Autoregressive
• tfp.substrates.numpy.sts.AutoregressiveIntegratedMovingAverage
• tfp.substrates.numpy.sts.AutoregressiveMovingAverageStateSpaceModel
• tfp.substrates.numpy.sts.AutoregressiveStateSpaceModel
• tfp.substrates.numpy.sts.ConstrainedSeasonalStateSpaceModel
• tfp.substrates.numpy.sts.DynamicLinearRegression
• tfp.substrates.numpy.sts.DynamicLinearRegressionStateSpaceModel
• tfp.substrates.numpy.sts.IntegratedStateSpaceModel
• tfp.substrates.numpy.sts.LinearRegression
• tfp.substrates.numpy.sts.LocalLevel
• tfp.substrates.numpy.sts.LocalLevelStateSpaceModel
• tfp.substrates.numpy.sts.LocalLinearTrend
• tfp.substrates.numpy.sts.LocalLinearTrendStateSpaceModel
• tfp.substrates.numpy.sts.MaskedTimeSeries
• tfp.substrates.numpy.sts.MissingValuesTolerance
• tfp.substrates.numpy.sts.Seasonal
• tfp.substrates.numpy.sts.SeasonalStateSpaceModel
• tfp.substrates.numpy.sts.SemiLocalLinearTrend
• tfp.substrates.numpy.sts.SemiLocalLinearTrendStateSpaceModel
• tfp.substrates.numpy.sts.SmoothSeasonal
• tfp.substrates.numpy.sts.SmoothSeasonalStateSpaceModel
• tfp.substrates.numpy.sts.SparseLinearRegression
• tfp.substrates.numpy.sts.StructuralTimeSeries
• tfp.substrates.numpy.sts.Sum
• tfp.substrates.numpy.sts.build_factored_surrogate_posterior
• tfp.substrates.numpy.sts.build_factored_surrogate_posterior_stateless
• tfp.substrates.numpy.sts.decompose_by_component
• tfp.substrates.numpy.sts.decompose_forecast_by_component
• tfp.substrates.numpy.sts.fit_with_hmc
• tfp.substrates.numpy.sts.forecast
• tfp.substrates.numpy.sts.impute_missing_values
• tfp.substrates.numpy.sts.moments_of_masked_time_series
• tfp.substrates.numpy.sts.one_step_predictive
• tfp.substrates.numpy.sts.regularize_series
• tfp.substrates.numpy.sts.sample_uniform_initial_state
• tfp.substrates.numpy.util
• tfp.substrates.numpy.util.BatchedComponentProperties
• tfp.substrates.numpy.util.DeferredTensor
• tfp.substrates.numpy.util.ParameterProperties
• tfp.substrates.numpy.util.SeedStream
• tfp.substrates.numpy.util.TransformedVariable
• tfp.substrates.numpy.vi
• tfp.substrates.numpy.vi.GradientEstimators
• tfp.substrates.numpy.vi.amari_alpha
• tfp.substrates.numpy.vi.arithmetic_geometric
• tfp.substrates.numpy.vi.chi_square
• tfp.substrates.numpy.vi.csiszar_vimco
• tfp.substrates.numpy.vi.dual_csiszar_function
• tfp.substrates.numpy.vi.fit_surrogate_posterior
• tfp.substrates.numpy.vi.fit_surrogate_posterior_stateless
• tfp.substrates.numpy.vi.jeffreys
• tfp.substrates.numpy.vi.jensen_shannon
• tfp.substrates.numpy.vi.kl_forward
• tfp.substrates.numpy.vi.kl_reverse
• tfp.substrates.numpy.vi.log1p_abs
• tfp.substrates.numpy.vi.modified_gan
• tfp.substrates.numpy.vi.monte_carlo_variational_loss
• tfp.substrates.numpy.vi.pearson
• tfp.substrates.numpy.vi.squared_hellinger
• tfp.substrates.numpy.vi.symmetrized_csiszar_function
• tfp.substrates.numpy.vi.t_power
• tfp.substrates.numpy.vi.total_variation
• tfp.substrates.numpy.vi.triangular
• tfp.util
• tfp.util.BatchedComponentProperties
• tfp.util.DeferredTensor
• tfp.util.ParameterProperties
• tfp.util.SeedStream
• tfp.util.TransformedVariable
• tfp.vi
• tfp.vi.GradientEstimators
• tfp.vi.amari_alpha
• tfp.vi.arithmetic_geometric
• tfp.vi.chi_square
• tfp.vi.csiszar_vimco
• tfp.vi.dual_csiszar_function
• tfp.vi.fit_surrogate_posterior
• tfp.vi.fit_surrogate_posterior_stateless
• tfp.vi.jeffreys
• tfp.vi.jensen_shannon
• tfp.vi.kl_forward
• tfp.vi.kl_reverse
• tfp.vi.log1p_abs
• tfp.vi.modified_gan
• tfp.vi.monte_carlo_variational_loss
• tfp.vi.mutual_information
• tfp.vi.mutual_information.lower_bound_barber_agakov
• tfp.vi.mutual_information.lower_bound_info_nce
• tfp.vi.mutual_information.lower_bound_jensen_shannon
• tfp.vi.mutual_information.lower_bound_nguyen_wainwright_jordan
• tfp.vi.pearson
• tfp.vi.squared_hellinger
• tfp.vi.symmetrized_csiszar_function
• tfp.vi.t_power
• tfp.vi.total_variation
• tfp.vi.triangular