Bug description
The unit test of the 2-stage recommender system pipeline is shaky due to multiple reasons:
- user_id sent to triton inference server does not exist in FEAST storage
- FIASS cannot return k valid candidates given the user query:
-- FIASS will return k-candidates, but filled up with -1 for not found candidates
-- -1 cannot be processed by FEAST
-- Issue is that FIASS has not enough item vectors to generate an index. Even 256 item_embeddings could result in less than 100 candidates
Unit test:
https://github.com/NVIDIA-Merlin/Merlin/blob/main/tests/unit/examples/test_building_deploying_multi_stage_RecSys.py
Edge cases, we should be handling without crashing the systems:
- user_id is not available in FEAST
- user requests more topk than items in FIASS indexed (n): topk>FIASS
- FIASS cannot return k-th valid candidates, even topk<n
- FIASS returns item_ids which are not available in FEAST for futher processing
- Candidates IDs are not availble in FEAST
- Number of candidates are less then requested topk
What should be the result in each of the cases?
Bug description
The unit test of the 2-stage recommender system pipeline is shaky due to multiple reasons:
-- FIASS will return k-candidates, but filled up with
-1for not found candidates--
-1cannot be processed by FEAST-- Issue is that FIASS has not enough item vectors to generate an index. Even 256 item_embeddings could result in less than 100 candidates
Unit test:
https://github.com/NVIDIA-Merlin/Merlin/blob/main/tests/unit/examples/test_building_deploying_multi_stage_RecSys.py
Edge cases, we should be handling without crashing the systems:
What should be the result in each of the cases?