Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-13025

Allow user to specify the initial model when training LogisticRegression

    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Incomplete
    • None
    • None
    • ML

    Description

      Allow the user to set the initial model when training for logistic regression. Note the method already exists, just change visibility to public.

      Attachments

        Issue Links

          Is contained by

          Sub-task - The sub-task of the issue SPARK-14377 Review spark.ml parity for classification, except trees

          • Major - Major loss of function.
          • Resolved

          Sub-task - The sub-task of the issue SPARK-11136 Warm-start support for ML estimator

          • Minor - Minor loss of function, or other problem where easy workaround is present.
          • Resolved

          Umbrella - An overarching type made of sub-tasks SPARK-4591 Algorithm/model parity for spark.ml (Scala)

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          links to

          Pull request #11459 [Github] Pull Request #11459 (GayathriMurali)

          Activity

            People

              Unassigned Unassigned
              holden Holden Karau
              DB Tsai DB Tsai
              Votes:
              0 Vote for this issue
              Watchers:
              2 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: