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  1. Spark
  2. SPARK-9610

Class and instance weighting for ML

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Details

    • Umbrella
    • Status: Resolved
    • Major
    • Resolution: Done
    • None
    • None
    • ML
    • None

    Description

      This umbrella is for tracking tasks for adding support for label or instance weights to ML algorithms. These additions will help handle skewed or imbalanced data, ensemble methods, etc.

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        is related to

        New Feature - A new feature of the product, which has yet to be developed. SPARK-7685 Handle high imbalanced data and apply weights to different samples in Logistic Regression

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

        New Feature - A new feature of the product, which has yet to be developed. SPARK-9642 LinearRegression should supported weighted data

        • Major - Major loss of function.
        • Resolved

        New Feature - A new feature of the product, which has yet to be developed. SPARK-14077 Support weighted instances in naive Bayes

        • Major - Major loss of function.
        • Resolved

        New Feature - A new feature of the product, which has yet to be developed. SPARK-9612 Add instance weight support for GBTs

        • 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-9478 Add sample weights to Random Forest

        • Major - Major loss of function.
        • Resolved

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-29967 KMeans support instance weighting

        • Major - Major loss of function.
        • Resolved

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-30102 GMM supports instance weighting

        • 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-30351 BisectingKMeans support instance weighting

        • 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-3246 Support weighted SVMWithSGD for classification of unbalanced dataset

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

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-10592 deprecate weights and use coefficients instead in ML models

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

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            Unassigned Unassigned
            josephkb Joseph K. Bradley
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              Updated:
              Resolved:

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