tf.contrib.distributions.Beta.mode()

tf.contrib.distributions.Beta.mode(name='mode')

Mode.

Additional documentation from Beta:

Note that the mode for the Beta distribution is only defined when a > 1, b > 1. This returns the mode when a > 1 and b > 1, and NaN otherwise. If self.allow_nan_stats is False, an exception will be raised rather than returning NaN.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#Beta.mode

doc_TensorFlow

2016-10-14 12:46:25

Comments

Popular Articles

tf.contrib.distributions.Beta class tf.contrib.distributions.Beta Beta distribution. This distribution is parameterized by a and b which are shape parameters.

tf.contrib.distributions.Beta.name tf.contrib.distributions.Beta.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Beta.prob() tf.contrib.distributions.Beta.prob(value, name='prob') Probability density/mass function (depending on is_continuous). Additional documentation from

tf.contrib.distributions.Beta.__init__() tf.contrib.distributions.Beta.__init__(a, b, validate_args=False, allow_nan_stats=True, name='Beta') Initialize a batch of Beta distributions. Args:

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