model_garden

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Soheila ZangenehandGitHub 4eb7b3ce39 Feature Store ingestion streaming notebook (#1321 )

* Add featurestore ingestion streaming nb

* Add notebook to CODEOWNERS

* Run linter

* Add pyarrow installation

* Run linter

* Resolve PR comments

* Run linter

2022-12-14 10:47:46 -08:00

feature_store_streaming_ingestion_sdk.ipynb

Feature Store ingestion streaming notebook (#1321 )

2022-12-14 10:47:46 -08:00

README.md

Autoindex 1 (#1337 )

2022-12-12 16:47:05 -08:00

sdk-feature-store-pandas.ipynb

Resolves name collisions in featurestore-pandas notebook + elaborates descriptions (#1199 )

2022-11-03 12:43:25 -07:00

sdk-feature-store.ipynb

feat: add autogen index for official/feature_store (#1103 )

2022-10-05 16:24:10 -07:00

README.md

Using Vertex AI Feature Store with Pandas Dataframe

Learn how to use `Vertex AI Feature Store` with pandas Dataframe.

The steps performed include:

- Ingest Feature values from Pandas DataFrame into Feature Store's Entity types.
- Read Entity feature values from Online Feature Store into Pandas DataFrame.
- Batch serve feature values from your Feature Store into Pandas DataFrame.


- Online serving with updated feature values.
- Point-in-time correctness to fetch feature values for training.

Online and Batch predictions using Vertex AI Feature Store

Learn how to use `Vertex AI Feature Store` to import feature data, and to access the feature data for both online serving and offline tasks, such as training.

The steps performed include:

- Create featurestore, entity type, and feature resources.
- Import feature data into `Vertex AI Feature Store` resource.
- Serve online prediction requests using the imported features.
- Access imported features in offline jobs, such as training jobs.