Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf

tf.SparseTensor.__truediv__(sp_x, y) Internal helper function for 'sp_t / dense_t'.

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

tf.assert_non_negative(x, data=None, summarize=None, message=None, name=None) Assert the condition x >= 0 holds

tf.contrib.distributions.WishartCholesky.log_pdf(value, name='log_pdf') Log probability density function.

tf.contrib.distributions.Beta.log_survival_function(value, name='log_survival_function') Log survival function.

void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const Fill *proto from *this.

tf.QueueBase.close(cancel_pending_enqueues=False, name=None) Closes this queue. This operation

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

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