mxfusion.components.distributions.bernoulli¶
Members¶
-
class
mxfusion.components.distributions.bernoulli.
Bernoulli
(prob_true, rand_gen=None, dtype=None, ctx=None)¶ Bases:
mxfusion.components.distributions.univariate.UnivariateDistribution
The Bernoulli distribution.
Parameters: - prob_true (Variable) – the probability of being true.
- 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).
-
replicate_self
(attribute_map=None)¶ This functions as a copy constructor for the object. In order to do a copy constructor we first call
__new__
on the class which creates a blank object. We then initialize that object using the methods standard init procedures, and do any extra copying of attributes.Replicates this Factor, using new inputs, outputs, and a new uuid. Used during model replication to functionally replicate a factor into a new graph.
Parameters:
-
log_pdf_impl
(prob_true, random_variable, F=None)¶ Computes the logarithm of probabilistic mass function of the Bernoulli distribution.
Parameters: - F – MXNet computation type <mx.sym, mx.nd>.
- prob_true (MXNet NDArray or MXNet Symbol) – the probability of being true.
- random_variable (MXNet NDArray or MXNet Symbol) – the point to compute the logpdf for.
Returns: log pdf of the distribution.
Rtypes: MXNet NDArray or MXNet Symbol
-
draw_samples_impl
(prob_true, rv_shape, num_samples=1, F=None)¶ Draw a number of samples from the Bernoulli distribution.
Parameters: Returns: a set samples of the Bernoulli distribution
Rtypes: MXNet NDArray or MXNet Symbol
-
static
define_variable
(prob_true, shape=None, rand_gen=None, dtype=None, ctx=None)¶ Creates and returns a random variable drawn from a Bernoulli distribution.
Parameters: - prob_true (Variable) – the probability being true.
- shape (tuple of int) – the shape of the Bernoulli variable.
- 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 Bernoulli distribution.
Rtypes: Variable