tf.contrib.distributions.MultivariateNormalDiag.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiag.mode(name='mode') Mode.

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

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

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

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

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

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

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

tf.contrib.distributions.Distribution.mode(name='mode') Mode.

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

tf.contrib.distributions.BetaWithSoftplusAB.event_shape(name='event_shape') Shape of a single sample from a single batch as a

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

tf.contrib.distributions.Uniform.log_survival_function(value, name='log_survival_function') Log survival function.

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

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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample(sample_shape=(), seed=None, name='sample') Generate samples of

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

tf.contrib.distributions.MultivariateNormalCholesky.event_shape(name='event_shape') Shape of a single sample from a single batch

2025-01-10 15:47:30