tf.contrib.distributions.Mixture.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

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

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.FIFOQueue.__init__(capacity, dtypes, shapes=None, names=None, shared_name=None, name='fifo_queue') Creates a queue that dequeues

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

tf.contrib.distributions.StudentT.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentT') Construct

tf.contrib.framework.model_variable(*args, **kwargs) Gets an existing model variable with these parameters or creates a new one

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.distribution

tf.IdentityReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

tf.TextLineReader.reset(name=None) Restore a reader to its initial clean state. Args: