tf.contrib.distributions.QuantizedDistribution.event_shape()

tf.contrib.distributions.QuantizedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch as

2016-10-14 13:01:20
tf.contrib.distributions.MultivariateNormalFull.get_batch_shape()

tf.contrib.distributions.MultivariateNormalFull.get_batch_shape() Shape of a single sample from a single event index as a

2016-10-14 12:59:06
tf.contrib.distributions.Beta.log_cdf()

tf.contrib.distributions.Beta.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

2016-10-14 12:46:15
tf.contrib.distributions.BernoulliWithSigmoidP.mode()

tf.contrib.distributions.BernoulliWithSigmoidP.mode(name='mode') Mode. Additional documentation

2016-10-14 12:45:47
tf.contrib.distributions.TransformedDistribution.prob()

tf.contrib.distributions.TransformedDistribution.prob(value, name='prob') Probability density/mass function (depending on

2016-10-14 13:03:00
tf.contrib.distributions.Distribution.param_static_shapes()

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

2016-10-14 12:51:31
tf.contrib.distributions.NormalWithSoftplusSigma.validate_args

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

2016-10-14 13:00:30
tf.contrib.distributions.Chi2WithAbsDf.batch_shape()

tf.contrib.distributions.Chi2WithAbsDf.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

2016-10-14 12:49:38
tf.contrib.distributions.Laplace.pdf()

tf.contrib.distributions.Laplace.pdf(value, name='pdf') Probability density function. Args:

2016-10-14 12:55:46
tf.contrib.distributions.StudentT.name

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

2016-10-14 13:02:09