tf.contrib.distributions.MultivariateNormalDiag.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full

string tensorflow::TensorShapeUtils::ShapeListString(const gtl::ArraySlice< TensorShape > &shapes)

tf.contrib.learn.LinearClassifier.get_variable_names()

tf.contrib.distributions.Binomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.metrics.auc_using_histogram(boolean_labels, scores, score_range, nbins=100, collections=None, check_shape=True, name=None) AUC

tf.contrib.distributions.Dirichlet.std(name='std') Standard deviation.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.param_static_shapes(cls, sample_shape) param_shapes with static (i.e.

tf.contrib.distributions.MultivariateNormalDiag.pdf(value, name='pdf') Probability density function. Args: