tf.contrib.distributions.Gamma.log_pdf()

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

2016-10-14 12:53:19
tf.contrib.distributions.Binomial.pmf()

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

2016-10-14 12:47:48
tf.contrib.distributions.MultivariateNormalFull.dtype

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

2016-10-14 12:59:03
tf.contrib.distributions.InverseGamma.

tf.contrib.distributions.InverseGamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='InverseGamma') Construct

2016-10-14 12:54:57
tf.contrib.distributions.BetaWithSoftplusAB.log_pdf()

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

2016-10-14 12:46:57
tf.contrib.distributions.Normal.param_static_shapes()

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

2016-10-14 13:00:08
tf.contrib.distributions.MultivariateNormalCholesky.param_static_shapes()

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

2016-10-14 12:57:37
tf.contrib.distributions.Chi2WithAbsDf.is_reparameterized

tf.contrib.distributions.Chi2WithAbsDf.is_reparameterized

2016-10-14 12:49:42
tf.contrib.distributions.TransformedDistribution.inverse

tf.contrib.distributions.TransformedDistribution.inverse Inverse function of transform, y => x.

2016-10-14 13:02:46
tf.contrib.distributions.BernoulliWithSigmoidP.pdf()

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

2016-10-14 12:45:51