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| ``mx.nd.random.pdf.gamma`` |
| ==================================================== |
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| Description |
| ---------------------- |
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| Computes the value of the PDF of *sample* of |
| gamma distributions with parameters *alpha* (shape) and *beta* (rate). |
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| *alpha* and *beta* must have the same shape, which must match the leftmost subshape |
| of *sample*. That is, *sample* can have the same shape as *alpha* and *beta*, 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 values of *alpha* and *beta* at index *i*. |
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| **Example**:: |
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| random_pdf_gamma(sample=[[1,2,3,4,5]], alpha=[5], beta=[1]) = |
| [[0.01532831, 0.09022352, 0.16803136, 0.19536681, 0.17546739]] |
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| sample = [[1, 2, 3, 4, 5], |
| [2, 3, 4, 5, 6], |
| [3, 4, 5, 6, 7]] |
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| random_pdf_gamma(sample=sample, alpha=[5,6,7], beta=[1,1,1]) = |
| [[0.01532831, 0.09022352, 0.16803136, 0.19536681, 0.17546739], |
| [0.03608941, 0.10081882, 0.15629345, 0.17546739, 0.16062315], |
| [0.05040941, 0.10419563, 0.14622283, 0.16062315, 0.14900276]] |
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| Arguments |
| ------------------ |
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| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``sample`` | NDArray-or-Symbol. | |
| | | | |
| | | Samples from the distributions. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``alpha`` | NDArray-or-Symbol. | |
| | | | |
| | | Alpha (shape) parameters of the distributions. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``is.log`` | boolean, optional, default=0. | |
| | | | |
| | | If set, compute the density of the log-probability instead | |
| | | of the | |
| | | probability. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``beta`` | NDArray-or-Symbol. | |
| | | | |
| | | Beta (scale) parameters of the distributions. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
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| ``out`` The result mx.ndarray |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/random/pdf_op.cc#L303 |
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