tf.contrib.distributions.MultivariateNormalCholesky.event_shape(name='event_shape') Shape of a single sample from a single batch
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.loss(final_loss, name='Loss')
assertSetEqual(first, second, msg=None) Tests that two sets are equal. If not, an error message is constructed that lists the
tf.contrib.distributions.Multinomial.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes
tf.contrib.distributions.MultivariateNormalFull.pmf(value, name='pmf') Probability mass function. Args:
tf.contrib.bayesflow.stochastic_tensor.BetaTensor.mean(name='mean')
type : number The const type of this object, either Phaser.WEBGL_FILTER or Phaser.CANVAS_FILTER.
tf.contrib.distributions.WishartFull.is_reparameterized
collisionGroups :array An array containing the collision groups that have been defined in the World.
irb_context() Instance Public methods Displays current configuration.
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