tf.contrib.learn.monitors.ValidationMonitor.early_stopped Returns True if this monitor caused an early stop.

tf.contrib.crf.viterbi_decode(score, transition_params) Decode the highest scoring sequence of tags outside of TensorFlow. This should only be used at test time. Args: score: A [seq_len, num_tags] matrix of unary potentials. transition_params: A [num_tags, num_tags] matrix of binary potentials. Returns: viterbi: A [seq_len] list of integers containing the highest scoring tag indicies. viterbi_score: A float containing the score for the viterbi sequence.

class tf.contrib.crf.CrfForwardRnnCell Computes the alpha values in a linear-chain CRF. See http://www.cs.columbia.edu/~mcollins/fb.pdf for reference.

tf.ifft3d(input, name=None) Compute the inverse 3-dimensional discrete Fourier Transform over the inner-most 3 dimensions of input. Args: input: A Tensor of type complex64. A complex64 tensor. name: A name for the operation (optional). Returns: A Tensor of type complex64. A complex64 tensor of the same shape as input. The inner-most 3 dimensions of input are replaced with their inverse 3D Fourier Transform.

tf.contrib.distributions.Bernoulli.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.graph

tf.contrib.graph_editor.SubGraphView.outputs The output tensors of this subgraph view.

tf.contrib.distributions.Categorical.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution