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View All on GitHubThe Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
AI Summary: This issue requests a new, dedicated documentation page for deploying Feast on Kubernetes, including its operator. Currently, this information is hard to discover as it's embedded within a broader 'running Feast in production' guide. The goal is to improve the discoverability of Kubernetes-specific documentation for Feast users.
The Open Source Feature Store for AI/ML
The Open Source Feature Store for AI/ML
AI Summary: Improve the error message when input columns don't match expected columns during data insertion into the Feast feature store. The current error message is difficult to read, especially with many features. The task involves modifying the exception handling in the Feast Python SDK to clearly list missing and extra columns.
The Open Source Feature Store for AI/ML
AI Summary: The task is to refactor the Feast library to make the `transformers` library an optional dependency. This will improve the import time for users who don't need the NLP features provided by `transformers`, allowing for a faster startup time for basic feature management tasks.
The Open Source Feature Store for AI/ML