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

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

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tf.contrib.distributions.Distribution.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Distribution.mode(name='mode') Mode.

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tf.contrib.distributions.Normal.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.mode(name='mode') Mode.

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tf.contrib.distributions.Uniform.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Uniform.mean(name='mean') Mean.

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

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

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tf.contrib.distributions.StudentT.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentT.mean(name='mean') Mean. Additional documentation from

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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.Laplace.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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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.distributions.StudentTWithAbsDfSoftplusSigma
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma =

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