1.1 - 8.10 - XGBoost Troubleshooting - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
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 syntax elements:
    • MinNodeSize
    • MaxDepth
    • ColumnSubSampling