Machine Learning: Prediction On Random Forest Tree Is Slow
(Doc ID 2780390.1)
Last updated on JULY 20, 2024
Applies to:
Oracle Data Mining - Version 12.1.0.2 and laterInformation in this document applies to any platform.
Symptoms
SQL query against large Random Forest mining model takes too long
Predicting from a created random forest tree model is very slow.
A query with 1 or about 1 Million rows takes up to 10 minutes, Query is expected to run within seconds,
The data mining scoring code uses SQL operators (PREDICTION_SET, FEATURE_SET,CLUSTER_SET) that return VARRAYs of objects,
The unnesting operation is a serial bottleneck and does not parallelize. This represents a serious performance issue.
Changes
Cause
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In this Document
Symptoms |
Changes |
Cause |
Solution |
References |