mx.nd.random.negative.binomial¶
Description¶
Draw random samples from a negative binomial distribution.
Samples are distributed according to a negative binomial distribution parametrized by k (limit of unsuccessful experiments) and p (failure probability in each experiment). Samples will always be returned as a floating point data type.
Example:
negative_binomial(k=3, p=0.4, shape=(2,2)) = [[ 4., 7.],
[ 2., 5.]]
Arguments¶
Argument |
Description |
|---|---|
|
int, optional, default=’1’. Limit of unsuccessful experiments. |
|
float, optional, default=1. Failure probability in each experiment. |
|
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). |
Value¶
out The result mx.ndarray
Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/random/sample_op.cc#L164