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``mx.symbol.random_exponential``
================================================================
Description
----------------------
Draw random samples from an exponential distribution.
Samples are distributed according to an exponential distribution parametrized by *lambda* (rate).
**Example**::
exponential(lam=4, shape=(2,2)) = [[ 0.0097189 , 0.08999364],
[ 0.04146638, 0.31715935]]
Usage
----------
.. code:: r
mx.symbol.random_exponential(...)
Arguments
------------------
+----------------------------------------+------------------------------------------------------------+
| Argument | Description |
+========================================+============================================================+
| ``lam`` | float, optional, default=1. |
| | |
| | Lambda parameter (rate) of the exponential distribution. |
+----------------------------------------+------------------------------------------------------------+
| ``shape`` | Shape(tuple), optional, default=None. |
| | |
| | Shape of the output. |
+----------------------------------------+------------------------------------------------------------+
| ``ctx`` | string, optional, default=''. |
| | |
| | Context of output, in format [cpu|gpu|cpu_pinned](n). Only |
| | used for imperative |
| | calls. |
+----------------------------------------+------------------------------------------------------------+
| ``dtype`` | {'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). |
+----------------------------------------+------------------------------------------------------------+
| ``name`` | 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#L137