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tfpfoto
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/distributions/normal_conjugates_known_scale_predictive
Posterior predictive Normal distribution w. conjugate prior on the mean.
tfpsubstratesjaxdistributionsnormal
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https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/bijectors/IteratedSigmoidCentered
Bijector which applies a Stick Breaking procedure.
tfpsubstratesnumpytensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/layers/Convolution1DReparameterization
1D convolution layer (e.g. temporal convolution).
tfplayerstensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/layers/MixtureSameFamily
A mixture (same-family) Keras layer.
tfplayerstensorflowprobability
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https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/mcmc/TransformedTransitionKernel
TransformedTransitionKernel applies a bijector to the MCMC's state space.
tfpsubstratesnumpymcmctensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/math/reduce_kahan_sum
Reduces the input tensor along the given axis using Kahan summation.
kahan sumtfpsubstratesnumpymath
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/sts/LocalLevel
Formal representation of a local level model.
tfpsubstratesnumpyststensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp?authuser=002
Tools for probabilistic reasoning in TensorFlow.
moduletfptensorflowprobability
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https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/distributions/Inflated
A mixture of a point-mass and another distribution.
tfpsubstratesjaxdistributionsinflated
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distributions/marginal_fns/ps/tensorshape_util/with_rank_at_least
Returns a shape based on x with at least the given rank.
tfpexperimentaldistributionsmarginalfns
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tfponline
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/bijectors/Inline
Bijector constructed from custom callables.
tfpsubstratesjaxinlinetensorflow
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tfpagilent
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/sts/forecast
Construct predictive distribution over future observations.
tfpsubstratesnumpystsforecast
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https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/glm/NegativeBinomial
NegativeBinomial(total_count, probs=mean / (mean + total_count)).
tfpsubstratesjaxglmtensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/math/log_sub_exp
Compute log(exp(max(x, y)) - exp(min(x, y))) in a numerically stable way.
tfpsubstratesnumpymathlog
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/optimizer/nelder_mead_minimize
Minimum of the objective function using the Nelder Mead simplex algorithm.
tfpsubstratesnumpyoptimizernelder
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/distributions/mvn_conjugate_linear_update
Computes a conjugate normal posterior for a Bayesian linear regression.
conjugate lineartfpsubstratesnumpydistributions
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/distributions/PowerSpherical
The Power Spherical distribution over unit vectors on S^{n-1}.
tfpsubstratesjaxdistributionstensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/mcmc/windowed_adaptive_nuts
Adapt and sample from a joint distribution using NUTS, conditioned on pins.
tfpexperimentalmcmcwindowedadaptive
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/bijectors/masked_autoregressive_default_template
Build the Masked Autoregressive Density Estimator (Germain et al., 2015).
tfpsubstratesnumpymaskedautoregressive
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https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/mcmc/effective_sample_size
Estimate a lower bound on effective sample size for each independent chain.
effective sample sizetfpsubstratesjaxmcmc