Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-17133 Improvements to linear methods in Spark
  3. SPARK-17163

Merge MLOR into a single LOR interface

    XMLWordPrintableJSON

Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 2.1.0
    • ML, MLlib
    • None

    Description

      Before the 2.1 release, we should finalize the API for logistic regression. After SPARK-7159, we have both LogisticRegression and MultinomialLogisticRegression models. This may be confusing to users and, is a bit superfluous since MLOR can do basically all of what BLOR does. We should decide if it needs to be changed and implement those changes before 2.1

      Update: Seems we have decided to merge the two estimators. I changed the title to reflect that.

      Attachments

        Issue Links

          blocks

          Sub-task - The sub-task of the issue SPARK-17157 Add multiclass logistic regression SparkR Wrapper

          • Major - Major loss of function.
          • Resolved

          Documentation - Documentation or Website SPARK-17239 User guide for multiclass logistic regression in spark.ml

          • Major - Major loss of function.
          • Resolved
          is depended upon by

          Sub-task - The sub-task of the issue SPARK-17138 Python API for multinomial logistic regression

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

          Pull request #14834 [Github] Pull Request #14834 (sethah)

          Activity

            People

              sethah Seth Hendrickson
              sethah Seth Hendrickson
              DB Tsai DB Tsai
              Votes:
              0 Vote for this issue
              Watchers:
              6 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: