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## What are we building?
A feature store is data system that facilitates managing the data transformations centrally for predictive analysis and ML models in production.
fal-dbt feature store is …
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Every time we change the way pipelines are called (e.g. by changing function arguments) we have to adapt the code in mlpp-workflows accordingly. It would be better instead if we had a stable interface…
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## Expected Behavior
Temporary tables in BigQueryRetrievalJob should be removed after the job completes or fails.
## Current Behavior
When running materialization with a batch engine with BigQue…
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# Problem
In Feast, the current On Demand Feature View executes feature transformations at read time. However, this behavior is not immediately obvious from the name "On Demand Feature View."
T…
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Hi,
I'm trying to deploy the cluster following the example provided in th setup page
https://github.com/Azure/feast-azure/blob/main/cluster/setup/README.md
Here I've got a couple of problems.
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**Is your feature request related to a problem? Please describe.**
The current Feast `get_historical_features()` method requires that users provide an entity dataframe as follows
```python
traini…
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In IntelliJ there is a wrong deprecation warning for `createFeatureStateSelector`.
This fu…
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## Expected Behavior
When using `feature_store.get_online_features`, if the wrong entity (one that exists but has nothing to do with the features being requested) is used, it leads to an unexpecte…
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## Expected Behavior
When `table_create_disposition` is set to `CREATE_NEVER`, a BigQuery dataset should not be created.
## Current Behavior
`table_create_disposition` is ignored and feast will …
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In our python feature-server (FastAPI), we have multiple projects where we fetch data from redis online store.
feast versions were upgraded from `0.18.1` to `0.26.0`
BigQuery version `3.4.0` duri…