tensorflow / tensorflow/recommenders
How to add "Instance Key" to basic retrieval model for batch predictions?
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 300
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Description
I'm using AI Platform Predictions to get batch predictions from a simple model (similar to https://www.tensorflow.org/recommenders/examples/basic_retrieval). This prediction service is outputting predictions with with no way to link them back to a user. This can be solved with "instance keys" (https://cloud.google.com/ai-platform/prediction/docs/overview#instance_keys), however I'm struggling to implement this in the model. Any suggestions/tips?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked TensorFlow Recommenders basic_retrieval example and the AI Platform Predictions instance-keys documentation. Determine how batch prediction outputs can be linked to users, then document a supported implementation or clearly state the limitation; no repository files or tests are named in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- google-cloud, python, tensorflow
- Domain
- cloud, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100