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

class tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor BernoulliTensor is a StochasticTensor backed

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tf.contrib.distributions.LaplaceWithSoftplusScale.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.LaplaceWithSoftplusScale.entropy(name='entropy') Shanon entropy in nats.

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tf.argmin()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.argmin(input, dimension, name=None) Returns the index with the smallest value across dimensions of a tensor.

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tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized

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tf.assert_greater_equal()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.survival_function(value, name='survival_function') Survival function

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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample_n(n, seed=None, name='sample_n') Generate n samples

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tf.contrib.distributions.Gamma.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.cdf(value, name='cdf') Cumulative distribution function. Given

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tf.contrib.training.NextQueuedSequenceBatch.
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

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tf.contrib.distributions.QuantizedDistribution.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.QuantizedDistribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

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