Details

    • Type: Task
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: 3.22.0.1
    • Component/s: AutoML, AutoMLR&D
    • Labels:
      None

      Description

      Add diverse handful of XGBoost models (some shallow, some deeper, and different row/col sample rates, etc) to the top of the AutoML queue using parameters chosen by Branden Murray, Mark Landry and Dmitry Larko. Also compare the ranges against this project.

      • Also update the User Guide, R and Python docstrings for the AutoML methods to note the addition of the XGBoost models (where we list the models that are included).
      • Not necessary right now, but at some point we should update the leaderboard output in the user guide to include XGBoost models (by re-running the code after it's created). You only have to run it once (from R or Python, then copy/paste the results so they are consistent in the different places the leaderboard output is shown).

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              • Assignee:
                navdeep Navdeep
                Reporter:
                navdeep Navdeep
              • Votes:
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                Dates

                • Created:
                  Updated: