tf.contrib.distributions.Binomial.name

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

2016-10-14 12:47:38
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.dtype

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

2016-10-14 12:58:34
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.variance()

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.variance(name='variance') Variance. Additional

2016-10-14 13:02:37
tf.contrib.distributions.ExponentialWithSoftplusLam.

tf.contrib.distributions.ExponentialWithSoftplusLam.__init__(lam, validate_args=False, allow_nan_stats=True, name='ExponentialWithSoftplusLam')

2016-10-14 12:52:57
tf.contrib.distributions.BernoulliWithSigmoidP.name

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

2016-10-14 12:45:48
tf.contrib.distributions.ExponentialWithSoftplusLam.log_pmf()

tf.contrib.distributions.ExponentialWithSoftplusLam.log_pmf(value, name='log_pmf') Log probability mass function.

2016-10-14 12:52:46
tf.contrib.distributions.Normal.sample_n()

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

2016-10-14 13:00:16
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.allow_nan_stats

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

2016-10-14 13:02:29
tf.contrib.distributions.InverseGamma.log_pdf()

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

2016-10-14 12:54:29
tf.contrib.distributions.InverseGamma.entropy()

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

2016-10-14 12:54:19