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

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

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tf.contrib.distributions.Categorical.variance()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Categorical.variance(name='variance') Variance.

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

tf.contrib.distributions.Multinomial.pdf(value, name='pdf') Probability density function. Args:

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

tf.matching_files(pattern, name=None) Returns the set of files matching a pattern. Note that this

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

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

2025-01-10 15:47:30
tf.errors.UnknownError
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

class tf.errors.UnknownError Unknown error. An example of where this error may be returned is

2025-01-10 15:47:30
tf.igammac()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.igammac(a, x, name=None) Compute the upper regularized incomplete Gamma function Q(a, x). The

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

tf.contrib.distributions.Poisson.validate_args Python boolean indicated possibly expensive checks are enabled.

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

tf.contrib.distributions.Distribution.__init__(dtype, parameters, is_continuous, is_reparameterized, validate_args, allow_nan_stats, name=None)

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

tf.contrib.distributions.MultivariateNormalCholesky.dtype The DType of Tensors handled by this

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