tf.contrib.distributions.Binomial.logits

tf.contrib.distributions.Binomial.logits Log-odds.

2016-10-14 12:47:22
tf.contrib.distributions.InverseGamma.cdf()

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

2016-10-14 12:54:17
tf.contrib.distributions.MultivariateNormalFull.sigma

tf.contrib.distributions.MultivariateNormalFull.sigma Dense (batch) covariance matrix, if available.

2016-10-14 12:59:32
tf.contrib.distributions.Exponential.entropy()

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

2016-10-14 12:51:58
tf.contrib.distributions.Bernoulli.event_shape()

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

2016-10-14 12:44:55
tf.contrib.distributions.Bernoulli.log_pdf()

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

2016-10-14 12:45:04
tf.contrib.distributions.Gamma.get_event_shape()

tf.contrib.distributions.Gamma.get_event_shape() Shape of a single sample from a single batch as a TensorShape.

2016-10-14 12:53:14
tf.contrib.distributions.Bernoulli.std()

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

2016-10-14 12:45:31
tf.contrib.distributions.MultivariateNormalDiag.sigma_det()

tf.contrib.distributions.MultivariateNormalDiag.sigma_det(name='sigma_det') Determinant of covariance matrix.

2016-10-14 12:58:27
tf.contrib.distributions.NormalWithSoftplusSigma.parameters

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

2016-10-14 13:00:27