Github user KyleLi1985 commented on the issue:
https://github.com/apache/spark/pull/23126
After add this commit
We get the result for RowMatrix computeCovariance function:
For the input data
1.0,2.0,3.0,4.0,5.0
2.0,3.0,1.0,2.0,6.0
RowMatrix function computeCovariance result:
2.5 1.75
1.75 3.7
For the input data generated by
data1 = np.random.normal(loc=100000, scale=0.000009, size=10000000)
data2 = np.random.normal(loc=200000, scale=0.000002,size=10000000)
RowMatrix function computeCovariance result:
8.109505250896888E-11 -5.003160564607658E-15
-5.003160564607658E-15 4.08276584628234E-12
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