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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 |
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