class tf.contrib.learn.monitors.GraphDump Dumps almost all tensors in the graph at every step. Note

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

tf.contrib.distributions.Poisson.parameters Dictionary of parameters used by this Distribution.

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

tf.contrib.distributions.BernoulliWithSigmoidP.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.learn.TensorFlowRNNClassifier.predict_proba(x, batch_size=None) Predict class probability of the input samples x

tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:

tf.contrib.distributions.ExponentialWithSoftplusLam.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

tf.contrib.distributions.BetaWithSoftplusAB.allow_nan_stats Python boolean describing behavior when a stat is undefined.