Rahul Iyer created MADLIB-1230:
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Summary: DT: Database crashes when feature is an svec array
Key: MADLIB-1230
URL: https://issues.apache.org/jira/browse/MADLIB-1230
Project: Apache MADlib
Issue Type: Task
Components: Module: Decision Tree
Reporter: Rahul Iyer
Attachments: dt_svec_feature_bug.sql
In the forest_training function in the madlib schema, trying to cast a sparse
vector into the features parameter is leading to a PANIC. Is there a way to
allow sparse vectors to be used as part of forest training?
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