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  1. Spark
  2. SPARK-13944 Separate out local linear algebra as a standalone module without Spark dependency
  3. SPARK-14734

Add conversions between mllib and ml Vector, Matrix types

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 2.0.0
    • ML, MLlib
    • None

    Description

      For maintaining wrappers around spark.mllib algorithms in spark.ml, it will be useful to have private[spark] methods for converting from one linear algebra representation to another. I am running into this issue in SPARK-14732.

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          blocks

          Sub-task - The sub-task of the issue SPARK-14615 Use the new ML Vector and Matrix in the ML pipeline based algorithms

          • Blocker - Blocks development and/or testing work, production could not run
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-14732 spark.ml GaussianMixture should not use spark.mllib MultivariateGaussian

          • Major - Major loss of function.
          • Resolved
          relates to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-15414 Make the mllib,ml linalg type conversion APIs public

          • Major - Major loss of function.
          • Resolved
          links to

          Pull request #12504 [Github] Pull Request #12504 (jkbradley)

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              josephkb Joseph K. Bradley
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: