mxnet.gluon.probability.distributions.independent

Independent class.

Classes

Independent(base_distribution, ...[, ...])

Reinterprets some collection of independent, non-identical distributions as a single multivariate random variable (convert some batch_dim to event_dim).

class mxnet.gluon.probability.distributions.independent.Independent(base_distribution, reinterpreted_batch_ndims, validate_args=None)

Bases: Distribution

Reinterprets some collection of independent, non-identical distributions as a single multivariate random variable (convert some batch_dim to event_dim).

broadcast_to(batch_shape)

Returns a new distribution instance with parameters expanded to batch_shape. This method calls numpy.broadcast_to on the parameters.

Parameters:

batch_shape (Tuple) – The batch shape of the desired distribution.

entropy()

Returns entropy of distribution.

enumerate_support()

Returns a tensor that contains all values supported by a discrete distribution.

property has_enumerate_support

bool(x) -> bool

Returns True when the argument x is true, False otherwise. The builtins True and False are the only two instances of the class bool. The class bool is a subclass of the class int, and cannot be subclassed.

log_prob(value)

Returns the log of the probability density/mass function evaluated at value.

property mean

Returns the mean of the distribution.

sample(size=None)

Generates a shape shaped sample.

sample_n(size)

Generate samples of (n + parameter_shape) from the distribution.

property support

Returns a function representing the distribution’s support.

property variance

Returns the variance of the distribution.