tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.input_dict
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.input_dict

2025-01-10 15:47:30
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape() Shape of a single sample from a single event index as

2025-01-10 15:47:30
tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a TensorShape

2025-01-10 15:47:30
tf.contrib.distributions.TransformedDistribution.event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.TransformedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.loss(final_loss, name='Loss')

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')

2025-01-10 15:47:30
tf.contrib.distributions.TransformedDistribution.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.TransformedDistribution.pmf(value, name='pmf') Probability mass function. Args:

2025-01-10 15:47:30
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.prob(value, name='prob') Probability density/mass function (depending on

2025-01-10 15:47:30
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.event_shape(name='event_shape') Shape of a single sample from a single

2025-01-10 15:47:30
tf.contrib.distributions.Gamma.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

2025-01-10 15:47:30