Comments (2)
DuckDB is done, BQ is next:
- Schema: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types
- Table creation: https://cloud.google.com/bigquery/docs/tables#python
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@nicholasjng I assume that the PR #85 addresses the first task in this ticket ("Prepare BQ example") and the two following are still to be done (" Check/verify SQL model" and "Decide on what API we go forward with") - I created a separate ticket for them #86.
Please shout if my assumption is wrong.
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Related Issues (20)
- Set up best practice for easy record serialization + parametrization + reproducibility HOT 1
- Docs: Versioning considerations
- Remove `ArtifactCollection` Wrapper
- Redesign artifact concept HOT 1
- Module path construction causes typecheck fails
- Improve base `Transform` interface
- Enhance API Reference Documentation for nnbench HOT 1
- Parameter representations instead of parameters in benchmark records HOT 3
- Add `nnbench.State` object holding current benchmark information, inject into setup/teardown tasks
- Add global memo cache and eviction API
- Update Artifact Tutorial
- Supplying `nnbench.Transform`s directly to record IO
- Hint all `name` arguments as `str` only HOT 1
- Add memo followups to the user guide
- Investigate binding params to benchmarks with weakrefs
- Add `transform` slot to record IO types
- Add small parameter representation guide for the benchmark runner
- Stabilize the record IO interface
- Explore a CLI workflow for usage in ML pipelines and CI
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