mxnet.gluon.probability.distributions.poisson

Poisson distribution.

Classes

Poisson([rate, validate_args])

Create a Poisson distribution object.

class mxnet.gluon.probability.distributions.poisson.Poisson(rate=1.0, validate_args=None)

Bases: ExponentialFamily

Create a Poisson distribution object.

Parameters:

rate (Tensor or scalar, default 1) – rate parameter of the distribution.

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.

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=None)

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

property variance

Returns the variance of the distribution.