tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.distributions.WishartFull.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.distributions.StudentT.variance(name='variance') Variance. Additional documentation

tf.contrib.learn.monitors.CheckpointSaver.run_on_all_workers

tf.contrib.rnn.AttentionCellWrapper.__init__(cell, attn_length, attn_size=None, attn_vec_size=None, input_size=None, state_is_tuple=False)

tf.image.resize_area(images, size, align_corners=None, name=None) Resize images to size using area interpolation

tf.sparse_tensor_dense_matmul(sp_a, b, adjoint_a=False, adjoint_b=False, name=None) Multiply SparseTensor (of rank 2) "A" by dense

tf.contrib.distributions.Uniform.std(name='std') Standard deviation.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss(final_loss, name='Loss')

tf.contrib.learn.LinearRegressor.get_params(deep=True) Get parameters for this estimator. Args: