tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

class tf.errors.NotFoundError Raised when a requested entity (e.g., a file or directory) was not found. For

Status tensorflow::Env::RegisterFileSystem(const string &scheme, FileSystemRegistry::Factory factory)

tf.contrib.learn.BaseEstimator.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.distribution

tf.contrib.metrics.streaming_recall_at_k(*args, **kwargs) Computes the recall@k of the predictions with respect to dense labels

tf.contrib.learn.TensorFlowEstimator.fit(x, y, steps=None, monitors=None, logdir=None) Neural network model from provided model_fn

tf.contrib.layers.summarize_tensor(tensor, tag=None) Summarize a tensor using a suitable summary type. This

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.value(name='value')

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