https://groups.google.com/a/tensorflow.org/g/tfprobability/c/aBCNvp4Njk0
Multinomial model in Tensorflow Probability( Discrete Choice Model )
tensorflow probabilitymultinomialmodeldiscretechoice
https://groups.google.com/a/tensorflow.org/g/tfprobability?hl=pt-br
TensorFlow Probability - Grupos do Google
tensorflow probabilitygruposgoogle
https://groups.google.com/a/tensorflow.org/g/tfprobability?hl=hi
TensorFlow Probability - Google Groups
tensorflow probabilitygooglegroups
https://groups.google.com/a/tensorflow.org/g/tfprobability?hl=it
TensorFlow Probability - Google Gruppi
tensorflow probabilitygooglegruppi
https://ebrevdo.github.io/project/tf-probability/
TensorFlow Probability | Eugene Brevdo
A library for probabilistic reasoning and statistical analysis.
tensorflow probabilityeugene
https://groups.google.com/a/tensorflow.org/g/tfprobability?hl=vi
TensorFlow Probability - Google Groups
tensorflow probabilitygooglegroups
https://www.tensorflow.org/probability/api_docs/python/tfp/glm/Normal
tfp.glm.Normal | TensorFlow Probability
Normal(loc=mean, scale=1) where mean = X @ weights.
tfpglmnormaltensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/bijectors
Module: tfp.substrates.numpy.bijectors | TensorFlow Probability
Bijective transformations.
moduletfpsubstratesnumpytensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/bijectors/RayleighCDF
tfp.substrates.jax.bijectors.RayleighCDF | TensorFlow Probability
tfpsubstratesjaxtensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/glm/fit_sparse
tfp.glm.fit_sparse | TensorFlow Probability
Fits a GLM using coordinate-wise FIM-informed proximal gradient descent.
tfpglmfitsparsetensorflow
https://www.tensorflow.org/probability/overview?authuser=1&%3Bhl=id&hl=id
Probabilitas TensorFlow | TensorFlow Probability
probabilitastensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/distributions/Normal
tfp.substrates.numpy.distributions.Normal | TensorFlow Probability
The Normal distribution with location loc and scale parameters.
tfpsubstratesnumpydistributionsnormal
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/bijectors/MatvecLU
tfp.substrates.jax.bijectors.MatvecLU | TensorFlow Probability
Matrix-vector multiply using LU decomposition.
tfpsubstratesjaxtensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distribute/Sharded
tfp.experimental.distribute.Sharded | TensorFlow Probability
A meta-distribution meant for use in an SPMD distributed context.
tfpexperimentaldistributetensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/bijectors/Blockwise
tfp.bijectors.Blockwise | TensorFlow Probability
Bijector which applies a list of bijectors to blocks of a Tensor.
tfpblockwisetensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/distributions/HalfNormal
tfp.substrates.numpy.distributions.HalfNormal | TensorFlow Probability
The Half Normal distribution with scale scale.
tfpsubstratesnumpydistributionstensorflow
https://www.tensorflow.org/probability/examples/Optimizers_in_TensorFlow_Probability?authuser=0
Optimizers in TensorFlow Probability
optimizerstensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/math/value_and_gradient
tfp.substrates.jax.math.value_and_gradient | TensorFlow Probability
Computes f(*args) and its gradients wrt to *args.
tfpsubstratesjaxmathvalue
https://tensorflow.google.cn/probability/api_docs/python/tfp/distributions/JointDistribution/Root
tfp.distributions.JointDistribution.Root | TensorFlow Probability
Wrapper for coroutine distributions which lack distribution parents.
tfpdistributionsroottensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/layers/CategoricalMixtureOfOneHotCategorical
tfp.layers.CategoricalMixtureOfOneHotCategorical | TensorFlow Probability
A OneHotCategorical mixture Keras layer from k * (1 + d) params.
tfplayerstensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/distributions/MultivariateNormalDiagPlusLowRank
tfp.substrates.numpy.distributions.MultivariateNormalDiagPlusLowRank | TensorFlow Probability
The multivariate normal distribution on R^k.
tfpsubstratesnumpydistributionstensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/math/soft_threshold
tfp.math.soft_threshold | TensorFlow Probability
Soft Thresholding operator.
tfpmathsoftthresholdtensorflow
https://tensorflow.google.cn/probability/api_docs/python/tfp/util/SeedStream
tfp.util.SeedStream | TensorFlow Probability
Local PRNG for amplifying seed entropy into seeds for base operations.
tfputiltensorflowprobability
https://tensorflow.google.cn/probability/examples/Probabilistic_Layers_Regression?authuser=2
TFP Probabilistic Layers: Regression | TensorFlow Probability
tfpprobabilisticlayersregressiontensorflow
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/distributions/Categorical
tfp.substrates.numpy.distributions.Categorical | TensorFlow Probability
Categorical distribution over integers.
tfpsubstratesnumpydistributionscategorical
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distributions/marginal_fns/ps/expm1
tfp.experimental.distributions.marginal_fns.ps.expm1 | TensorFlow Probability
Computes exp(x) - 1 element-wise.
tfpexperimentaldistributionsmarginalfns
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/distributions/Binomial
tfp.substrates.jax.distributions.Binomial | TensorFlow Probability
Binomial distribution.
tfpsubstratesjaxdistributionsbinomial
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/auto_batching/numpy_backend
Module: tfp.experimental.auto_batching.numpy_backend | TensorFlow Probability
Numpy backend for auto-batching VM.
moduletfpexperimentalautobatching
https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/SchurComplement
tfp.math.psd_kernels.SchurComplement | TensorFlow Probability
The SchurComplement kernel.
tfpmathpsdkernelstensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distributions/marginal_fns/ps/reverse
tfp.experimental.distributions.marginal_fns.ps.reverse | TensorFlow Probability
Reverses specific dimensions of a tensor.
tfpexperimentaldistributionsmarginalfns
https://www.tensorflow.org/probability/install?hl=pl
Zainstaluj | TensorFlow Probability
zainstalujtensorflowprobability
https://www.tensorflow.org/probability/examples/TensorFlow_Distributions_Tutorial?authuser=1
TensorFlow Distributions: A Gentle Introduction | TensorFlow Probability
tensorflowdistributionsgentleintroductionprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/mcmc/make_tqdm_progress_bar_fn
tfp.experimental.mcmc.make_tqdm_progress_bar_fn | TensorFlow Probability
Make a progress_bar_fn that uses tqdm.
progress bartfpexperimentalmcmcmake
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/math/reduce_kahan_sum
tfp.substrates.jax.math.reduce_kahan_sum | TensorFlow Probability
Reduces the input tensor along the given axis using Kahan summation.
tfpsubstratesjaxmathreduce
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/optimizer
Module: tfp.substrates.jax.optimizer | TensorFlow Probability
TensorFlow Probability Optimizer python package.
moduletfpsubstratesjaxoptimizer
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/mcmc/RandomWalkMetropolis
tfp.substrates.numpy.mcmc.RandomWalkMetropolis | TensorFlow Probability
Runs one step of the RWM algorithm with symmetric proposal.
tfpsubstratesnumpymcmctensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/stats/moving_mean_variance_zero_debiased?authuser=4
tfp.stats.moving_mean_variance_zero_debiased | TensorFlow Probability
Compute zero debiased versions of moving_mean and moving_variance.
tfpstatsmovingmeanvariance
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/distributions/SphericalUniform
tfp.substrates.numpy.distributions.SphericalUniform | TensorFlow Probability
tfpsubstratesnumpydistributionstensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distributions/marginal_fns/ps/tensorshape_util/dims
tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.dims | TensorFlow Probability
Returns a list of dimension sizes, or None if rank is unknown.
tfpexperimentaldistributionsmarginalfns
https://tensorflow.google.cn/probability/examples/TensorFlow_Distributions_Tutorial?authuser=0&hl=id
Distribusi TensorFlow: Pengantar Lembut | TensorFlow Probability
distribusitensorflowpengantarlembutprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/numpy/bijectors/FillTriangular
tfp.substrates.numpy.bijectors.FillTriangular | TensorFlow Probability
Transforms vectors to triangular.
tfpsubstratesnumpytensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/mcmc/make_simple_step_size_update_policy
tfp.mcmc.make_simple_step_size_update_policy | TensorFlow Probability
Create a function implementing a step-size update policy. (deprecated)
update policytfpmcmcmakesimple
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/sts/forecast
tfp.substrates.jax.sts.forecast | TensorFlow Probability
Construct predictive distribution over future observations.
tfpsubstratesjaxstsforecast
https://www.tensorflow.org/probability/api_docs/python/tfp/vi/mutual_information/lower_bound_jensen_shannon
tfp.vi.mutual_information.lower_bound_jensen_shannon | TensorFlow Probability
Lower bound on Jensen-Shannon (JS) divergence.
mutual informationlower boundtfpvijensen
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/distributions/marginal_fns/ps/dtype_util/is_bool
tfp.experimental.distributions.marginal_fns.ps.dtype_util.is_bool | TensorFlow Probability
Returns whether this is a boolean data type.
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/bijectors/SinhArcsinh
tfp.substrates.jax.bijectors.SinhArcsinh | TensorFlow Probability
Y = g(X) = Sinh( (Arcsinh(X) + skewness) * tailweight ) * multiplier.
tfpsubstratesjaxtensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/debugging/benchmarking/BenchmarkTfFunctionConfig
tfp.debugging.benchmarking.BenchmarkTfFunctionConfig | TensorFlow Probability
BenchmarkTfFunctionConfig(strategies, hardware)
tfpdebuggingbenchmarkingtensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp?authuser=0
Module: tfp | TensorFlow Probability
Tools for probabilistic reasoning in TensorFlow.
moduletfptensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/distributions/JointDistributionCoroutineAutoBatched
tfp.distributions.JointDistributionCoroutineAutoBatched | TensorFlow Probability
Joint distribution parameterized by a distribution-making generator.
tfpdistributionstensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/math/hypergeometric/hyp2f1_small_argument
tfp.substrates.jax.math.hypergeometric.hyp2f1_small_argument | TensorFlow Probability
tfpsubstratesjaxmathhypergeometric
https://www.tensorflow.org/probability/examples/Probabilistic_Layers_Regression?authuser=3
TFP Probabilistic Layers: Regression | TensorFlow Probability
tfpprobabilisticlayersregressiontensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/vi/kl_reverse
tfp.substrates.numpy.vi.kl_reverse | TensorFlow Probability
The reverse Kullback-Leibler Csiszar-function in log-space.
tfpsubstratesnumpyvikl
https://www.tensorflow.org/probability/api_docs/python/tfp/experimental/mcmc
Module: tfp.experimental.mcmc | TensorFlow Probability
TensorFlow Probability experimental MCMC package.
moduletfpexperimentalmcmctensorflow
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/jax/vi/kl_reverse
tfp.substrates.jax.vi.kl_reverse | TensorFlow Probability
The reverse Kullback-Leibler Csiszar-function in log-space.
tfpsubstratesjaxvikl
https://tensorflow.google.cn/probability/api_docs/python/tfp/experimental/bijectors/forward_log_det_jacobian_ratio
tfp.experimental.bijectors.forward_log_det_jacobian_ratio | TensorFlow Probability
Computes p.fldj(x, ndims) - q.fdlj(y, ndims), numerically stably.
tfpexperimentalforwardlogdet
https://www.tensorflow.org/probability/api_docs/python/tfp/distributions/ExpGamma
tfp.distributions.ExpGamma | TensorFlow Probability
ExpGamma distribution.
tfpdistributionstensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/distributions/JointDistributionNamed
tfp.substrates.numpy.distributions.JointDistributionNamed | TensorFlow Probability
Joint distribution parameterized by named distribution-making functions.
tfpsubstratesnumpydistributionstensorflow
https://tensorflow.google.cn/probability/api_docs/python/tfp/substrates/jax/bijectors/FFJORD
tfp.substrates.jax.bijectors.FFJORD | TensorFlow Probability
tfpsubstratesjaxtensorflowprobability
https://www.tensorflow.org/probability?authuser=002&%3Bhl=zh-cn&hl=zh-cn
TensorFlow Probability
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis.
tensorflowprobability
https://tensorflow.google.cn/probability/api_docs/python/tfp/experimental/auto_batching/type_inference/signature
tfp.experimental.auto_batching.type_inference.signature | TensorFlow Probability
Computes a type signature for the given inputs.
type inferencetfpexperimentalautobatching
https://www.tensorflow.org/probability?authuser=0&%3Bhl=zh-tw&hl=zh-tw
TensorFlow Probability
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis.
tensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/random
Module: tfp.random | TensorFlow Probability
TensorFlow Probability random samplers/utilities.
moduletfprandomtensorflowprobability
https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/distributions/Independent
tfp.substrates.numpy.distributions.Independent | TensorFlow Probability
Independent distribution from batch of distributions.
tfpsubstratesnumpydistributionsindependent