tf.contrib.distributions.Mixture.std()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

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

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

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

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

tf.contrib.distributions.LaplaceWithSoftplusScale.is_reparameterized

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

tf.contrib.distributions.MultivariateNormalDiag.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalDiag')

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_sigma_det(name='log_sigma_det') Log of determinant of covariance

2025-01-10 15:47:30
tf.contrib.distributions.Chi2WithAbsDf.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

2025-01-10 15:47:30
tf.contrib.distributions.Chi2WithAbsDf.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.mode(name='mode') Mode. Additional documentation from

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

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

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

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

2025-01-10 15:47:30