update indices (#2382)

This commit is contained in:
Andrew Ferlitsch
2023-10-17 17:42:09 +00:00
committed by GitHub
parent b589216811
commit 88cf9b3278
18 changed files with 481 additions and 82 deletions
+34 -1
View File
@@ -15,6 +15,38 @@ The steps performed include:
   Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore).
[Online feature serving and fetching of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store.ipynb)
```
Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of feature values serving and fetching user journey.
The steps performed include:
- Provision an online feature store instance to host and serve data.
- Register a `BigQuery` view with the online feature store instance and set up the sync job.
- Use the online server to fetch feature values for online prediction.
```
   Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).
[Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_vector_retrieval_bigquery_data_with_feature_store.ipynb)
```
Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of features serving and vector retrieval user journey.
The steps performed include:
- Provision an online feature store instance to host and serve data.
- Create an online feature store instance to serve a `BigQuery` table.
- Use the online server to search nearest neighbors.
```
   Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).
[Using Vertex AI Feature Store with Pandas Dataframe](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/sdk-feature-store-pandas.ipynb)
```
@@ -22,7 +54,8 @@ 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.
- Create Featurestore, entity types and features.
- 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.