Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-18366

Add handleInvalid to Pyspark for QuantileDiscretizer and Bucketizer

    XMLWordPrintableJSON

Details

    • New Feature
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 2.1.0
    • ML, PySpark
    • None

    Description

      We should add the new handleInvalid param for these transformers to Python to maintain API parity.

      Attachments

        Issue Links

          is required by

          Sub-task - The sub-task of the issue SPARK-18320 ML 2.1 QA: API: Python API coverage

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

          Pull request #15817 [Github] Pull Request #15817 (techaddict)

          Activity

            People

              techaddict Sandeep Singh
              sethah Seth Hendrickson
              Votes:
              0 Vote for this issue
              Watchers:
              3 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: