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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/08/11 21:22:45 UTC
[jira] [Created] (SPARK-9834) Normal equation solver and summary
statistics for ordinary least squares
Xiangrui Meng created SPARK-9834:
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Summary: Normal equation solver and summary statistics for ordinary least squares
Key: SPARK-9834
URL: https://issues.apache.org/jira/browse/SPARK-9834
Project: Spark
Issue Type: New Feature
Components: ML
Reporter: Xiangrui Meng
Assignee: Xiangrui Meng
Add normal equation solver for ordinary least squares with not many features. The approach requires one pass to collect AtA and Atb, then solve the problem on driver. It works well when the problem is not very ill-conditioned and not having many columns. It also provides R-like summary statistics.
We can hide this implementation under LinearRegression. It is triggered when there are no more than, e.g., 4096 features.
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