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Joshua Howard commented on SPARK-17459: --------------------------------------- Got it. Won't touch the fields. Whenever a committer can get around to it I'd like to participate in bringing it in. > Add Linear Discriminant to dimensionality reduction algorithms > -------------------------------------------------------------- > > Key: SPARK-17459 > URL: https://issues.apache.org/jira/browse/SPARK-17459 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Joshua Howard > Priority: Minor > > The goal is to add linear discriminant analysis as a method of dimensionality > reduction. The algorithm and code are very similar to PCA, but instead > project the data set onto vectors that provide class separation. LDA is a > more effective alternative to PCA in terms of preprocessing for > classification algorithms. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org