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``mx.symbol.random_pdf_poisson``
================================================================
Description
----------------------
Computes the value of the PDF of *sample* of
Poisson distributions with parameters *lam* (rate).
The shape of *lam* must match the leftmost subshape of *sample*. That is, *sample*
can have the same shape as *lam*, in which case the output contains one density per
distribution, or *sample* can be a tensor of tensors with that shape, in which case
the output is a tensor of densities such that the densities at index *i* in the output
are given by the samples at index *i* in *sample* parameterized by the value of *lam*
at index *i*.
**Example**::
random_pdf_poisson(sample=[[0,1,2,3]], lam=[1]) =
[[0.36787945, 0.36787945, 0.18393973, 0.06131324]]
sample = [[0,1,2,3],
[0,1,2,3],
[0,1,2,3]]
random_pdf_poisson(sample=sample, lam=[1,2,3]) =
[[0.36787945, 0.36787945, 0.18393973, 0.06131324],
[0.13533528, 0.27067056, 0.27067056, 0.18044704],
[0.04978707, 0.14936121, 0.22404182, 0.22404182]]
Usage
----------
.. code:: r
mx.symbol.random_pdf_poisson(...)
Arguments
------------------
+----------------------------------------+------------------------------------------------------------+
| Argument | Description |
+========================================+============================================================+
| ``sample`` | NDArray-or-Symbol. |
| | |
| | Samples from the distributions. |
+----------------------------------------+------------------------------------------------------------+
| ``lam`` | NDArray-or-Symbol. |
| | |
| | Lambda (rate) parameters of the distributions. |
+----------------------------------------+------------------------------------------------------------+
| ``is.log`` | boolean, optional, default=0. |
| | |
| | If set, compute the density of the log-probability instead |
| | of the |
| | probability. |
+----------------------------------------+------------------------------------------------------------+
| ``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/pdf_op.cc#L307