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Featurestore notebook non egen (#3156)

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* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

added colab enterprise logo and link

* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

hope I fixed the JSON issue

* fix: remove new changes

* Update online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb

Some small edits, but mainly, I changed the URL that used "pantheon" to https://console.cloud.google.com,
Note: egen has not reviewed this notebook yet, so I didn't do a more detailed edit. Will do that once they've updated the notebook.

---------

Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>
This commit is contained in:
kittyabs
2024-06-27 17:34:00 +00:00
committed by GitHub
co-authored by Katie Nguyen
parent 47ef3e3f6c
commit d973169c0c
1 changed files with 5 additions and 5 deletions
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notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_bigtable.ipynb
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@@ -79,12 +79,12 @@
"\n",
"This tutorial uses the following Google Cloud ML services and resources:\n",
"\n",
"- `Vertex AI Feature Store`\n",
"- Vertex AI Feature Store\n",
"\n",
"The steps performed include:\n",
"\n",
"- Provision an online feature store instance to host and serve data.\n",
"- Register a `BigQuery` view with the online feature store instance and set up the sync job.\n",
"- Register a BigQuery view with the online feature store instance and set up the sync job.\n",
"- Use the online server to fetch feature values for online prediction."
]
},
@@ -96,7 +96,7 @@
"source": [
"### Dataset\n",
"\n",
"This tutorial uses the [theLook_eCommerce](https://pantheon.corp.google.com/marketplace/product/bigquery-public-data/thelook-ecommerce) dataset from the `BigQuery` public datasets.\n",
"This tutorial uses the [theLook_eCommerce](https://console.cloud.google.com/marketplace/product/bigquery-public-data/thelook-ecommerce) dataset from the BigQuery public datasets.\n",
"\n",
"The Look eCommerce has developed a sales prediction model for their merchandise. The model uses the following data:\n",
"\n",
@@ -118,8 +118,8 @@
"\n",
"This tutorial uses billable components of Google Cloud:\n",
"\n",
"* `Vertex AI`\n",
"* `BigQuery`\n",
"* Vertex AI\n",
"* BigQuery\n",
"\n",
"Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing) and\n",
"[BigQuery pricing](https://cloud.google.com/bigquery/pricing)\n",