tf.contrib.distributions.Beta.log_pdf()

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

2016-10-14 12:46:17
tf.contrib.distributions.Mixture.is_reparameterized

tf.contrib.distributions.Mixture.is_reparameterized

2016-10-14 12:56:25
tf.contrib.distributions.Uniform.param_shapes()

tf.contrib.distributions.Uniform.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

2016-10-14 13:03:32
tf.contrib.distributions.ExponentialWithSoftplusLam.log_survival_function()

tf.contrib.distributions.ExponentialWithSoftplusLam.log_survival_function(value, name='log_survival_function') Log survival function

2016-10-14 12:52:48
tf.contrib.distributions.ExponentialWithSoftplusLam.cdf()

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

2016-10-14 12:52:40
tf.contrib.distributions.MultivariateNormalCholesky.sigma

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

2016-10-14 12:57:46
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df Degrees of freedom in these Student's t distribution(s).

2016-10-14 13:02:29
tf.contrib.distributions.QuantizedDistribution.allow_nan_stats

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

2016-10-14 13:01:16
tf.contrib.distributions.Multinomial.dtype

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

2016-10-14 12:56:46
tf.contrib.distributions.Uniform.pdf()

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

2016-10-14 13:03:35