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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode()

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

Mode.

Additional documentation from InverseGamma:

The mode of an inverse gamma distribution is beta / (alpha + 1).

Links:

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

doc_TensorFlow

2016-10-14 12:55:07

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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta class tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta Inverse Gamma with softplus applied to alpha and beta.

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

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

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

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