[GitHub] piiswrong closed pull request #10423: Fix typos in random number docs

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

piiswrong closed pull request #10423: Fix typos in random number docs
URL: https://github.com/apache/incubator-mxnet/pull/10423
 
 
   

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diff --git a/python/mxnet/ndarray/random.py b/python/mxnet/ndarray/random.py
index 93f97e80b47..7be854a3107 100644
--- a/python/mxnet/ndarray/random.py
+++ b/python/mxnet/ndarray/random.py
@@ -83,13 +83,12 @@ def uniform(low=0, high=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwarg
     >>> mx.nd.random.uniform(0, 1)
     [ 0.54881352]
     <NDArray 1 @cpu(0)
-    >>>> mx.nd.random.uniform(0, 1, ctx=mx.gpu(0))
+    >>> mx.nd.random.uniform(0, 1, ctx=mx.gpu(0))
     [ 0.92514056]
     <NDArray 1 @gpu(0)>
     >>> mx.nd.random.uniform(-1, 1, shape=(2,))
-    [[ 0.71589124  0.08976638]
-     [ 0.69450343 -0.15269041]]
-    <NDArray 2x2 @cpu(0)>
+    [ 0.71589124  0.08976638]
+    <NDArray 2 @cpu(0)>
     >>> low = mx.nd.array([1,2,3])
     >>> high = mx.nd.array([2,3,4])
     >>> mx.nd.random.uniform(low, high, shape=2)
@@ -134,7 +133,7 @@ def normal(loc=0, scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwarg
     >>> mx.nd.random.normal(0, 1)
     [ 2.21220636]
     <NDArray 1 @cpu(0)>
-    >>>> mx.nd.random.normal(0, 1, ctx=mx.gpu(0))
+    >>> mx.nd.random.normal(0, 1, ctx=mx.gpu(0))
     [ 0.29253659]
     <NDArray 1 @gpu(0)>
     >>> mx.nd.random.normal(-1, 1, shape=(2,))
@@ -200,7 +199,7 @@ def exponential(scale=1, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs)
 
     Its probability density function is
 
-        f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
+    .. math:: f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
 
     for x > 0 and 0 elsewhere. \beta is the scale parameter, which is the
     inverse of the rate parameter \lambda = 1/\beta.
diff --git a/python/mxnet/symbol/random.py b/python/mxnet/symbol/random.py
index 721a1daa95e..24f1c5aa49e 100644
--- a/python/mxnet/symbol/random.py
+++ b/python/mxnet/symbol/random.py
@@ -123,7 +123,7 @@ def exponential(scale=1, shape=_Null, dtype=_Null, **kwargs):
 
     Its probability density function is
 
-        f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
+    .. math:: f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),
 
     for x > 0 and 0 elsewhere. \beta is the scale parameter, which is the
     inverse of the rate parameter \lambda = 1/\beta.


 

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