tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_survival_function(value, name='log_survival_function') Log

tf.contrib.learn.monitors.ValidationMonitor.set_estimator(estimator) A setter called automatically by the target estimator.

tf.contrib.distributions.InverseGamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

tf.contrib.learn.Estimator.get_variable_value(name) Returns value of the variable given by name. Args:

tf.contrib.graph_editor.Transformer.__call__(sgv, dst_graph, dst_scope, src_scope='', reuse_dst_scope=False) Execute the transformation

tf.contrib.layers.one_hot_encoding(*args, **kwargs) Transform numeric labels into onehot_labels using tf.one_hot.

tf.contrib.learn.monitors.CheckpointSaver.set_estimator(estimator) A setter called automatically by the target estimator.

class tf.contrib.learn.ModeKeys Standard names for model modes. The following standard keys are

tf.contrib.learn.LinearClassifier.get_variable_value(name)

tf.contrib.learn.monitors.NanLoss.post_step(step, session)