mx.nd.random.pdf.uniform
¶
Description¶
Computes the value of the PDF of sample of uniform distributions on the intervals given by [low,high).
low and high must have the same shape, which must match the leftmost subshape of sample. That is, sample can have the same shape as low and high, 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 low and high at index i.
Example:
random_pdf_uniform(sample=[[1,2,3,4]], low=[0], high=[10]) = [0.1, 0.1, 0.1, 0.1]
sample = [[[1, 2, 3],
[1, 2, 3]],
[[1, 2, 3],
[1, 2, 3]]]
low = [[0, 0],
[0, 0]]
high = [[ 5, 10],
[15, 20]]
random_pdf_uniform(sample=sample, low=low, high=high) =
[[[0.2, 0.2, 0.2 ],
[0.1, 0.1, 0.1 ]],
[[0.06667, 0.06667, 0.06667],
[0.05, 0.05, 0.05 ]]]
Arguments¶
Argument |
Description |
---|---|
|
NDArray-or-Symbol. Samples from the distributions. |
|
NDArray-or-Symbol. Lower bounds of the distributions. |
|
boolean, optional, default=0. If set, compute the density of the log-probability instead of the probability. |
|
NDArray-or-Symbol. Upper bounds of the distributions. |
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#L298