eyal sharon created SPARK-11302:
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Summary: Multivariate Gaussian Model with Covariance matrix
return zero always
Key: SPARK-11302
URL: https://issues.apache.org/jira/browse/SPARK-11302
Project: Spark
Issue Type: Bug
Components: MLlib
Reporter: eyal sharon
Priority: Minor
I have been trying to apply an Anomaly Detection model using Spark MLib.
As an input, I feed the model with a mean vector and a Covariance matrix.
,assuming my features contain Co-variance.
Here are my input for the model ,and the model returns zero for each data
point for this input.
MU vector -
1054.8, 1069.8, 1.3 ,1040.1
Cov' matrix -
165496.0 , 167996.0, 11.0 , 163037.0
167996.0, 170631.0, 19.0, 165405.0
11.0, 19.0 , 0.0, 2.0
163037.0, 165405.0 2.0 , 160707.0
Conversely, for the non covariance case, represented by this matrix ,the
model is working and returns results as expected
165496.0, 0.0 , 0.0, 0.0
0.0, 170631.0, 0.0, 0.0
0.0 , 0.0 , 0.8, 0.0
0.0 , 0.0, 0.0, 160594.2
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