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  1. Spark
  2. SPARK-15540

RFormula and R feature processing improvement umbrella

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Details

    • Umbrella
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • ML, SparkR

    Description

      Umbrella for improvements to RFormula and to how R handles feature and label processing in general

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          contains

          Bug - A problem which impairs or prevents the functions of the product. SPARK-14657 RFormula output wrong features when formula w/o intercept

          • Major - Major loss of function.
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-15153 SparkR spark.naiveBayes throws error when label is numeric type

          • Major - Major loss of function.
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-13641 getModelFeatures of ml.api.r.SparkRWrapper cannot (always) reveal the original column names

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-14730 Expose ColumnPruner as feature transformer

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

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-10523 SparkR formula syntax to turn strings/factors into numerics

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-14659 OneHotEncoder support drop first category alphabetically in the encoded vector

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-15509 R MLlib algorithms should support input columns "features" and "label"

          • Major - Major loss of function.
          • Resolved
          is related to

          Sub-task - The sub-task of the issue SPARK-11106 Should ML Models contains single models or Pipelines?

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          There are no Sub-Tasks for this issue.

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              Unassigned Unassigned
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: