tf.contrib.distributions.MultivariateNormalDiag.name

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

2016-10-14 12:58:14
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_cdf()

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

2016-10-14 12:55:04
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.cdf()

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

2016-10-14 12:55:00
tf.contrib.distributions.MultivariateNormalCholesky.pmf()

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

2016-10-14 12:57:40
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

2016-10-14 12:58:49
tf.contrib.distributions.LaplaceWithSoftplusScale.pdf()

tf.contrib.distributions.LaplaceWithSoftplusScale.pdf(value, name='pdf') Probability density function.

2016-10-14 12:56:10
tf.contrib.distributions.Normal.

tf.contrib.distributions.Normal.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='Normal') Construct Normal

2016-10-14 13:00:22
tf.contrib.distributions.Poisson.get_event_shape()

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

2016-10-14 13:00:43
tf.contrib.distributions.DirichletMultinomial.log_prob()

tf.contrib.distributions.DirichletMultinomial.log_prob(value, name='log_prob') Log probability density/mass function (depending

2016-10-14 12:50:40
tf.contrib.distributions.ExponentialWithSoftplusLam.param_static_shapes()

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

2016-10-14 12:52:51