tf.contrib.distributions.Chi2WithAbsDf.mode()

tf.contrib.distributions.Chi2WithAbsDf.mode(name='mode')

Mode.

Additional documentation from Gamma:

The mode of a gamma distribution is (alpha - 1) / beta when alpha > 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#Chi2WithAbsDf.mode

doc_TensorFlow

2016-10-14 12:49:47

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tf.contrib.distributions.Chi2WithAbsDf.parameters tf.contrib.distributions.Chi2WithAbsDf.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Chi2WithAbsDf.df tf.contrib.distributions.Chi2WithAbsDf.df

tf.contrib.distributions.Chi2WithAbsDf.variance() tf.contrib.distributions.Chi2WithAbsDf.variance(name='variance') Variance.