tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.pdf(value, name='pdf') Probability density function.

class tf.errors.NotFoundError Raised when a requested entity (e.g., a file or directory) was not found. For

tf.nn.rnn_cell.InputProjectionWrapper.__init__(cell, num_proj, input_size=None) Create a cell with input projection.

tf.as_string(input, precision=None, scientific=None, shortest=None, width=None, fill=None, name=None) Converts each entry in the

tf.contrib.crf.crf_log_norm(inputs, sequence_lengths, transition_params) Computes the normalization for a CRF.

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.input_dict

tf.contrib.learn.TensorFlowRNNRegressor.partial_fit(x, y) Incremental fit on a batch of samples. This

tf.contrib.learn.monitors.StepCounter.set_estimator(estimator)

tf.contrib.distributions.Distribution.survival_function(value, name='survival_function') Survival function.

class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma =