mxnet.gluon.probability.distributions.studentT

Student T distribution

Classes

StudentT(df[, loc, scale, validate_args])

Create a studentT distribution object, often known as t distribution.
class mxnet.gluon.probability.distributions.studentT.StudentT(df, loc=0.0, scale=1.0, validate_args=None)[source]

Bases: Distribution

Create a studentT distribution object, often known as t distribution.

Parameters:

  • df (Tensor or scalar) – degree of freedom.

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

  • scale (Tensor or scalar, default 1) – scale of the distribution

broadcast_to(batch_shape)[source]

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()[source]

Returns entropy of distribution.

log_prob(value)[source]

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

property mean

Returns the mean of the distribution.

sample(size=None)[source]

Generates a shape shaped sample.

sample_n(size=None)[source]

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

property variance

Returns the variance of the distribution.