tf.contrib.distributions.DirichletMultinomial.event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

2025-01-10 15:47:30
tf.contrib.distributions.Chi2.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.name Name prepended to all ops created by this Distribution.

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

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

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

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf(value, name='log_pmf') Log probability mass function.

2025-01-10 15:47:30
tf.contrib.rnn.CoupledInputForgetGateLSTMCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.CoupledInputForgetGateLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

2025-01-10 15:47:30
tensorflow::SessionOptions::env
  • References/Big Data/TensorFlow/TensorFlow C++/SessionOptions

Env* tensorflow::SessionOptions::env The environment to use.

2025-01-10 15:47:30
tensorflow::Session::PRunSetup()
  • References/Big Data/TensorFlow/TensorFlow C++/Session

virtual Status tensorflow::Session::PRunSetup(const std::vector< string > &input_names, const std::vector< string > &output_names, const std::vector<

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

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

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

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

2025-01-10 15:47:30