tf.contrib.distributions.Chi2.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.name Name prepended to all ops created by this Distribution.

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

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

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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf(value, name='log_pmf') Log probability mass function.

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

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

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

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

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

tf.contrib.distributions.Binomial.name Name prepended to all ops created by this Distribution.

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tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

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

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

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

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tf.contrib.distributions.Dirichlet.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Dirichlet.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

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