tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.distribution
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.distribution

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

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

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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

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

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

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tf.contrib.learn.monitors.StopAtStep.epoch_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args:

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tf.contrib.learn.ModeKeys
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

class tf.contrib.learn.ModeKeys Standard names for model modes. The following standard keys are

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

class tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor BernoulliTensor is a StochasticTensor backed

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph

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

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

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

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

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