class tf.contrib.bayesflow.stochastic_tensor.BinomialTensor BinomialTensor is a StochasticTensor backed
tf.contrib.distributions.MultivariateNormalFull.is_reparameterized
tf.python_io.TFRecordWriter.__enter__() Enter a with block.
tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If
tf.contrib.metrics.streaming_precision(*args, **kwargs) Computes the precision of the predictions with respect to the labels.
class tf.contrib.distributions.Uniform Uniform distribution with a and b parameters.
tf.contrib.layers.apply_regularization(regularizer, weights_list=None) Returns the summed penalty by applying regularizer
tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.clone(name=None, **dist_args)
tf.contrib.learn.TensorFlowRNNClassifier.__repr__()
tf.contrib.learn.monitors.ExportMonitor.step_end(step, output) Overrides BaseMonitor.step_end. When
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