mx.nd.random.gamma
¶
Description¶
Draw random samples from a gamma distribution.
Samples are distributed according to a gamma distribution parametrized by alpha (shape) and beta (scale).
Example:
gamma(alpha=9, beta=0.5, shape=(2,2)) = [[ 7.10486984, 3.37695289],
[ 3.91697288, 3.65933681]]
Arguments¶
Argument |
Description |
---|---|
|
float, optional, default=1. Alpha parameter (shape) of the gamma distribution. |
|
float, optional, default=1. Beta parameter (scale) of the gamma 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). |
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#L125