

``mx.nd.random.pdf.dirichlet``
============================================================

Description
----------------------

Computes the value of the PDF of *sample* of
Dirichlet distributions with parameter *alpha*.

The shape of *alpha* must match the leftmost subshape of *sample*.  That is, *sample*
can have the same shape as *alpha*, 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 *alpha*
at index *i*.


**Example**::

	 
	 random_pdf_dirichlet(sample=[[1,2],[2,3],[3,4]], alpha=[2.5, 2.5]) =
	 [38.413498, 199.60245, 564.56085]
	 
	 sample = [[[1, 2, 3], [10, 20, 30], [100, 200, 300]],
	 [[0.1, 0.2, 0.3], [0.01, 0.02, 0.03], [0.001, 0.002, 0.003]]]
	 
	 random_pdf_dirichlet(sample=sample, alpha=[0.1, 0.4, 0.9]) =
	 [[2.3257459e-02, 5.8420084e-04, 1.4674458e-05],
	 [9.2589635e-01, 3.6860607e+01, 1.4674468e+03]]
	 
	 
Arguments
------------------

+----------------------------------------+------------------------------------------------------------+
| Argument                               | Description                                                |
+========================================+============================================================+
| ``sample``                             | NDArray-or-Symbol.                                         |
|                                        |                                                            |
|                                        | Samples from the distributions.                            |
+----------------------------------------+------------------------------------------------------------+
| ``alpha``                              | NDArray-or-Symbol.                                         |
|                                        |                                                            |
|                                        | Concentration parameters of the distributions.             |
+----------------------------------------+------------------------------------------------------------+
| ``is.log``                             | boolean, optional, default=0.                              |
|                                        |                                                            |
|                                        | If set, compute the density of the log-probability instead |
|                                        | of the                                                     |
|                                        | probability.                                               |
+----------------------------------------+------------------------------------------------------------+

Value
----------

``out`` The result mx.ndarray


Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/random/pdf_op.cc#L316