mxfusion.components.distributions.pointmass

Members

class mxfusion.components.distributions.pointmass.PointMass(location, rand_gen=None, dtype=None, ctx=None)

Bases: mxfusion.components.distributions.univariate.UnivariateDistribution

The Point Mass distribution.

Parameters:location – the location of the point mass.
log_pdf_impl(location, random_variable, F=None)

Computes the logarithm of probabilistic density function of the normal distribution.

Parameters:
  • F – MXNet computation type <mx.sym, mx.nd>.
  • location – the location of the point mass.
  • random_variable – the point to compute the logpdf for.
Returns:

An operator chain to compute the logpdf of the Normal distribution.
draw_samples_impl(location, rv_shape, num_samples=1, F=None)

The implementation of draw_samples for a specific distribution.

Parameters:
  • rv_shape (tuple, [tuple]) – the shape of each sample.
  • num_samples (int) – the number of drawn samples (default: one).
  • F – the MXNet computation mode (mxnet.symbol or mxnet.ndarray).
Returns:

a set samples of the distribution.
Rtypes:

MXNet NDArray or MXNet Symbol or [MXNet NDArray or MXNet Symbol]
static define_variable(location, shape=None, rand_gen=None, dtype=None, ctx=None)

Creates and returns a random variable drawn from a Normal distribution.

Parameters:
  • location – the location of the point mass.
  • shape – Shape of random variables drawn from the distribution. If non-scalar, each variable is drawn iid.
  • rand_gen (RandomGenerator) – the random generator (default: MXNetRandomGenerator).
  • dtype (numpy.float32 or numpy.float64) – the data type for float point numbers.
  • ctx (None or mxnet.cpu or mxnet.gpu) – the mxnet context (default: None/current context).
Returns:

RandomVariable drawn from the distribution specified.