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  1. Spark
  2. SPARK-14661

Trim PCAModel by required explained variance

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    • New Feature
    • Status: Resolved
    • Trivial
    • Resolution: Won't Fix
    • None
    • None
    • ML, MLlib
    • None

    Description

      PCA is often used to trim the number of features by using the minimal variance retained by those features. It would be very convenient to have a method in PCAModel that would return a trimmed model, especially given that the PCAModel constructor is private so doing this somewhere in the user code is not possible.

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              Unassigned Unassigned
              psuszyns Piotr SuszyƄski
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                Updated:
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