mx.symbol.random_generalized_negative_binomial¶
Description¶
Draw random samples from a generalized negative binomial distribution.
Samples are distributed according to a generalized negative binomial distribution parametrized by mu (mean) and alpha (dispersion). alpha is defined as 1/k where k is the failure limit of the number of unsuccessful experiments (generalized to real numbers). Samples will always be returned as a floating point data type.
Example:
generalized_negative_binomial(mu=2.0, alpha=0.3, shape=(2,2)) = [[ 2., 1.],
[ 6., 4.]]
Usage¶
mx.symbol.random_generalized_negative_binomial(...)
Arguments¶
Argument |
Description |
|---|---|
|
float, optional, default=1. Mean of the negative binomial distribution. |
|
float, optional, default=1. Alpha (dispersion) parameter of the negative binomial distribution. |
|
Shape(tuple), optional, default=None. Shape of the output. |
|
string, optional, default=’’. Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. |
|
{‘None’, ‘float16’, ‘float32’, ‘float64’},optional, default=’None’. DType of the output in case this can’t be inferred. Defaults to float32 if not defined (dtype=None). |
|
string, optional. Name of the resulting symbol. |
Value¶
out The result mx.symbol
Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/random/sample_op.cc#L179