tf.contrib.distributions.StudentT.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

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

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

tf.contrib.distributions.Distribution.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

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

tf.contrib.distributions.WishartFull.sample_n(n, seed=None, name='sample_n') Generate n samples.

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tf.contrib.distributions.Gamma.get_batch_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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

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

tf.contrib.distributions.Dirichlet.alpha_sum Sum of shape parameter.

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes

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

tf.contrib.distributions.normal_congugates_known_sigma_predictive(prior, sigma, s, n) Posterior predictive Normal distribution

2025-01-10 15:47:30
tf.contrib.distributions.Chi2.param_static_shapes()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

2025-01-10 15:47:30