tf.contrib.distributions.Chi2.
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.__init__(df, validate_args=False, allow_nan_stats=True, name='Chi2') Construct Chi2 distributions

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

tf.contrib.distributions.NormalWithSoftplusSigma.is_reparameterized

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tf.contrib.distributions.MultivariateNormalFull.mu
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalFull.mu

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

tf.contrib.distributions.Normal.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

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

tf.contrib.distributions.Uniform.range(name='range') b - a.

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tf.contrib.distributions.DirichletMultinomial.n
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.DirichletMultinomial.n Parameter defining this distribution.

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tf.contrib.distributions.Normal.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.Laplace.parameters
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Laplace.parameters Dictionary of parameters used by this Distribution.

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pdf(value, name='pdf') Probability density function.

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

tf.contrib.distributions.WishartCholesky.__init__(df, scale, cholesky_input_output_matrices=False, validate_args=False, allow_nan_stats=True, name='WishartCholesky')

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