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| ``mx.symbol.moments`` |
| ========================================== |
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| Description |
| ---------------------- |
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| Calculate the mean and variance of `data`. |
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| The mean and variance are calculated by aggregating the contents of data across axes. |
| If x is 1-D and axes = [0] this is just the mean and variance of a vector. |
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| Example: |
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| x = [[1, 2, 3], [4, 5, 6]] |
| mean, var = moments(data=x, axes=[0]) |
| mean = [2.5, 3.5, 4.5] |
| var = [2.25, 2.25, 2.25] |
| mean, var = moments(data=x, axes=[1]) |
| mean = [2.0, 5.0] |
| var = [0.66666667, 0.66666667] |
| mean, var = moments(data=x, axis=[0, 1]) |
| mean = [3.5] |
| var = [2.9166667] |
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| Usage |
| ---------- |
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| .. code:: r |
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| mx.symbol.moments(...) |
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| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | Input ndarray | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``axes`` | Shape or None, optional, default=None. | |
| | | | |
| | | Array of ints. Axes along which to compute mean and | |
| | | variance. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``keepdims`` | boolean, optional, default=0. | |
| | | | |
| | | produce moments with the same dimensionality as the input. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``name`` | string, optional. | |
| | | | |
| | | Name of the resulting symbol. | |
| +----------------------------------------+------------------------------------------------------------+ |
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| Value |
| ---------- |
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| ``out`` The result mx.symbol |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/nn/moments.cc#L54 |
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