mxnet.gluon.probability.distributions.gumbel

Gumbel Distribution.

Classes

Gumbel(loc[, scale, validate_args])

Create a Gumble distribution object

class mxnet.gluon.probability.distributions.gumbel.Gumbel(loc, scale=1, validate_args=None)

Bases: Distribution

Create a Gumble distribution object

Parameters:

• loc (Tensor or scalar, default 0) – Location parameter of the distribution.

• scale (Tensor or scalar, default 1) – Scale 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.

cdf(value)

Returns the cumulative density/mass function evaluated at value.

entropy()

Returns entropy of distribution.

icdf(value)

Returns the inverse cumulative density/mass function evaluated at value.

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 stddev

Returns the standard deviation of the distribution.

property variance

Returns the variance of the distribution.