tf.contrib.distributions.Poisson.dtype

tf.contrib.distributions.Poisson.dtype The DType of Tensors handled by this Distribution

2016-10-14 13:00:39
tf.contrib.distributions.InverseGamma.event_shape()

tf.contrib.distributions.InverseGamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

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tf.contrib.distributions.Chi2WithAbsDf.std()

tf.contrib.distributions.Chi2WithAbsDf.std(name='std') Standard deviation.

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tf.contrib.distributions.Normal.std()

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

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tf.contrib.distributions.WishartFull.validate_args

tf.contrib.distributions.WishartFull.validate_args Python boolean indicated possibly expensive checks are enabled.

2016-10-14 13:04:41
tf.contrib.distributions.DirichletMultinomial.param_shapes()

tf.contrib.distributions.DirichletMultinomial.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

2016-10-14 12:50:45
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.allow_nan_stats

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.allow_nan_stats Python boolean describing behavior when a stat is undefined

2016-10-14 12:54:58
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pmf()

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pmf(value, name='pmf') Probability mass function.

2016-10-14 13:02:35
tf.contrib.distributions.Chi2.parameters

tf.contrib.distributions.Chi2.parameters Dictionary of parameters used by this Distribution.

2016-10-14 12:49:17
tf.contrib.distributions.WishartFull.log_pdf()

tf.contrib.distributions.WishartFull.log_pdf(value, name='log_pdf') Log probability density function.

2016-10-14 13:04:27