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

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

2025-01-10 15:47:30
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

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

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

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

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

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

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

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

tf.contrib.distributions.LaplaceWithSoftplusScale.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='LaplaceWithSoftplusScale')

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

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

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

tf.contrib.distributions.Poisson.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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

tf.contrib.distributions.Poisson.get_event_shape() Shape of a single sample from a single batch as a TensorShape

2025-01-10 15:47:30
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