tf.contrib.distributions.BernoulliWithSigmoidP.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BernoulliWithSigmoidP.pmf(value, name='pmf') Probability mass function. Args:

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

tf.contrib.distributions.LaplaceWithSoftplusScale.cdf(value, name='cdf') Cumulative distribution function. Given

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tf.contrib.distributions.QuantizedDistribution.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.QuantizedDistribution.cdf(value, name='cdf') Cumulative distribution function. Given

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tf.contrib.distributions.QuantizedDistribution.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.BetaWithSoftplusAB.validate_args
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.Gamma.alpha
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.alpha Shape parameter.

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

class tf.contrib.distributions.InverseGamma The InverseGamma distribution with parameter alpha and beta.

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tf.contrib.distributions.MultivariateNormalFull.log_sigma_det()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.Bernoulli.is_continuous
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Bernoulli.is_continuous

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

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

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