tf.contrib.distributions.Multinomial

class tf.contrib.distributions.Multinomial Multinomial distribution. This distribution is parameterized by a vector p of probability parameters for k classes and n, the counts per each class..

tf.contrib.distributions.Bernoulli.is_continuous

tf.contrib.distributions.Bernoulli.is_continuous

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor

class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a StochasticTensor backed by the distribution QuantizedDistribution.

tensorflow::Tensor::DebugString()

string tensorflow::Tensor::DebugString() const A human-readable summary of the tensor suitable for debugging.

tf.contrib.learn.monitors.ExportMonitor

class tf.contrib.learn.monitors.ExportMonitor Monitor that exports Estimator every N steps.

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.__init__()

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.graph

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.graph

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.__init__()

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution