1.0 - 8.00 - XGBoost Troubleshooting - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)

Problem: Function runs slowly or runs out of memory.

Workarounds:

  • Increase the value of NumBoostedTrees (the number of parallel boosted trees to consider during prediction).

    Each vworker processes each of its assigned tree-boosting operations sequentially. When you increase the value of NumBoostedTrees, each boosting operation operates on smaller subset of input data.

  • Decrease the input data footprint by minimizing the number of columns.
  • Decrease the size of a tree in memory by adjusting the values of these arguments:
    • MinNodeSize
    • MaxDepth
    • ColumnSubSampling