tf.contrib.distributions.Uniform.a

tf.contrib.distributions.Uniform.a

2016-10-14 13:03:08
tf.contrib.distributions.QuantizedDistribution.is_reparameterized

tf.contrib.distributions.QuantizedDistribution.is_reparameterized

2016-10-14 13:01:23
tf.contrib.distributions.Categorical.allow_nan_stats

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

2016-10-14 12:48:03
tf.contrib.distributions.Uniform.dtype

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

2016-10-14 13:03:14
tf.contrib.distributions.Mixture.log_pdf()

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

2016-10-14 12:56:27
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.entropy()

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

2016-10-14 13:02:30
tf.contrib.distributions.MultivariateNormalDiag.std()

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

2016-10-14 12:58:27
tf.contrib.distributions.Gamma.validate_args

tf.contrib.distributions.Gamma.validate_args Python boolean indicated possibly expensive checks are enabled.

2016-10-14 12:53:47
tf.contrib.distributions.Normal.mean()

tf.contrib.distributions.Normal.mean(name='mean') Mean.

2016-10-14 13:00:01
tf.contrib.distributions.Dirichlet.sample()

tf.contrib.distributions.Dirichlet.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

2016-10-14 12:50:20