Joseph K. Bradley created SPARK-8986:
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Summary: GaussianMixture should take smoothing param
Key: SPARK-8986
URL: https://issues.apache.org/jira/browse/SPARK-8986
Project: Spark
Issue Type: New Feature
Components: MLlib
Reporter: Joseph K. Bradley
Gaussian mixture models should take a smoothing parameter which makes the
algorithm robust against degenerate data or bad initializations.
Whomever takes this JIRA should look at other libraries (sklearn, R packages,
Weka, etc.) to see how they do smoothing and what their API looks like. Please
summarize your findings here.
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