xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377427161
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File path: python/mxnet/numpy/random.py
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@@ -260,6 +261,180 @@ def lognormal(mean=0.0, sigma=1.0, size=None,
dtype=None, ctx=None, out=None):
return _mx_nd_np.random.lognormal(mean, sigma, size, dtype, ctx, out)
+def logistic(loc=0.0, scale=1.0, size=None, ctx=None, out=None):
+ r"""Draw samples from a logistic distribution.
+
+ Samples are drawn from a logistic distribution with specified
+ parameters, loc (location or mean, also median), and scale (>0).
+
+ Parameters
+ ----------
+ loc : float or array_like of floats, optional
+ Parameter of the distribution. Default is 0.
+ scale : float or array_like of floats, optional
+ Parameter of the distribution. Must be non-negative.
+ Default is 1.
+ size : int or tuple of ints, optional
+ Output shape. If the given shape is, e.g., ``(m, n, k)``, then
+ ``m * n * k`` samples are drawn. If size is ``None`` (default),
+ a single value is returned if ``loc`` and ``scale`` are both scalars.
+ Otherwise, ``np.broadcast(loc, scale).size`` samples are drawn.
+
+ Returns
+ -------
+ out : ndarray or scalar
+ Drawn samples from the parameterized logistic distribution.
+
+ Notes
Review comment:
Remove the notes section and reference section.
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