tf.contrib.distributions.Categorical.param_shapes()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.LaplaceWithSoftplusScale.parameters
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

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tf.contrib.distributions.TransformedDistribution.transform
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.TransformedDistribution.transform Function transforming x => y.

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

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

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tf.contrib.distributions.BetaWithSoftplusAB.log_prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

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

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

tf.contrib.distributions.Chi2WithAbsDf.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

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

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