tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given

tf.scalar_mul(scalar, x) Multiplies a scalar times a Tensor or IndexedSlices object.

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.clone(name=None, **dist_args)

tf.contrib.learn.TensorFlowRNNRegressor.save(path) Saves checkpoints and graph to given path. Args:

tf.contrib.distributions.LaplaceWithSoftplusScale.variance(name='variance') Variance.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.contrib.distributions.MultivariateNormalCholesky.dtype The DType of Tensors handled by this

tf.contrib.distributions.Categorical.mean(name='mean') Mean.

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