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

class tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor WishartFullTensor is a StochasticTensor

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

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

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tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_pdf(value, name='log_pdf') Log probability density function

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

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

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tensorflow::Env::Stat()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::Stat(const string &fname, FileStatistics *stat) Obtains statistics for the given path.

2025-01-10 15:47:30
tf.contrib.learn.monitors.EveryN.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.EveryN.end(session=None)

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tf.errors.UnavailableError
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

class tf.errors.UnavailableError Raised when the runtime is currently unavailable. This exception

2025-01-10 15:47:30
tf.contrib.learn.monitors.EveryN.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This

2025-01-10 15:47:30
tf.TextLineReader.num_records_produced()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TextLineReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.std(name='std') Standard deviation.

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