[GitHub] [incubator-mxnet] xidulu commented on a change in pull request #17302: [numpy]add op random.logistic, random.gumbel

[GitBox <gi...@apache.org>]

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_r367796564
 
 

 ##########
 File path: python/mxnet/numpy/random.py
 ##########
 @@ -200,6 +200,192 @@ def normal(loc=0.0, scale=1.0, size=None, dtype=None, ctx=None, out=None):
     return _mx_nd_np.random.normal(loc, scale, size, dtype, ctx, out)
 
 
+def logistic(loc=0.0, scale=1.0, size=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.
+
+    See Also
+    --------
 
 Review comment:
   Remove this section.

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