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

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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.allow_nan_stats Python boolean describing behavior when a stat is undefined

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

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

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

tf.contrib.distributions.Beta.pmf(value, name='pmf') Probability mass function. Args:

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

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

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

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

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

tf.contrib.distributions.WishartCholesky.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

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

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

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

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

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

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

2025-01-10 15:47:30