tf.contrib.bayesflow.stochastic_tensor.UniformTensor.value_type

tf.contrib.learn.LinearRegressor.get_variable_value(name) Returns value of the variable given by name.

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

tf.contrib.distributions.Categorical.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.Gamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='Gamma') Construct Gamma

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

tf.FixedLenSequenceFeature.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

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

tf.python_io.TFRecordWriter.__enter__() Enter a with block.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.input_dict