tf.contrib.distributions.Categorical.entropy()

tf.contrib.distributions.Categorical.entropy(name='entropy') Shanon entropy in nats.

2016-10-14 12:48:09
tf.contrib.distributions.Distribution.variance()

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

2016-10-14 12:51:46
tf.contrib.distributions.BetaWithSoftplusAB.validate_args

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

2016-10-14 12:47:07
tf.contrib.distributions.Multinomial.pmf()

tf.contrib.distributions.Multinomial.pmf(value, name='pmf') Probability mass function. Args:

2016-10-14 12:57:06
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.validate_args

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

2016-10-14 12:58:45
tf.contrib.distributions.QuantizedDistribution.cdf()

tf.contrib.distributions.QuantizedDistribution.cdf(value, name='cdf') Cumulative distribution function. Given

2016-10-14 13:01:19
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.event_shape()

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

2016-10-14 12:58:48
tf.contrib.distributions.Binomial.sample_n()

tf.contrib.distributions.Binomial.sample_n(n, seed=None, name='sample_n') Generate n samples.

2016-10-14 12:47:55
tf.contrib.distributions.Multinomial.log_cdf()

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

2016-10-14 12:56:53
tf.contrib.distributions.Multinomial.is_continuous

tf.contrib.distributions.Multinomial.is_continuous

2016-10-14 12:56:50