Github user orhankislal commented on a diff in the pull request:
--- Diff: src/ports/postgres/modules/convex/test/mlp.sql_in ---
@@ -241,9 +247,8 @@ SELECT mlp_predict(
select * from mlp_prediction;
- -- Accuracy greater than 90%
- COUNT(*)/150.0 > 0.95,
- 'MLP: Accuracy is too low (< 95%). Wrong result.'
+ COUNT(*)/150.0 > 0.99,
--- End diff --
Tested on PG 9.4 and the latest commit of GPDB 5 (1 node, 3 segments).
IC passes on Postgres but fails on GPDB5. I tested the code manually and it
works fine with 148/150 accuracy. I would suggest dropping the assertion
threshold to 95% to make sure such minute changes do not fail the whole test.
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