Compare commits

...
@@ -33,16 +33,18 @@
"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/sdk-feature-store.ipynb\">\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/sdk-feature-store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/feature_store/sdk-feature-store.ipynb\">\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/sdk-feature-store.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/notebook_template.ipynb\">\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/sdk-feature-store.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a> \n",
@@ -77,8 +79,6 @@
"\n",
"- `Vertex AI Feature Store`\n",
"\n",
"\n",
"\n",
"The steps performed include:\n",
"\n",
"- Create featurestore, entity type, and feature resources.\n",
@@ -393,7 +393,7 @@
"### Authenticate your Google Cloud account\n",
"\n",
"**If you are using Vertex AI Workbench notebooks**, your environment is already\n",
"authenticated. Skip this step."
"authenticated."
]
},
{
@@ -822,7 +822,7 @@
"source": [
"## Import Feature Values\n",
"\n",
"You need to import feature values before you can use them for online/offline serving. In this step, you learn how to import feature values by ingesting the values from GCS (Google Cloud Storage). You can also import feature values from BigQuery or a Pandas dataframe.\n"
"You need to import feature values before you can use them for online/offline serving. In this step, you learn how to import feature values by ingesting the values from Cloud Storage. You can also import feature values from BigQuery or a Pandas dataframe.\n"
]
},
{
@@ -1025,7 +1025,7 @@
"source": [
"### Read one entity per request\n",
"\n",
"With the Python SDK, it is easy to read feature values of one entity. By default, the SDK will return the latest value of each feature, meaning the feature values with the most recent timestamp.\n",
"With the Vertex AI SDK, it is easy to read feature values of one entity. By default, the SDK will return the latest value of each feature, meaning the feature values with the most recent timestamp.\n",
"\n",
"To read feature values, specify the entity type ID and features to read. By default all the features of an entity type will be selected. The response will output and display the selected entity type ID and the selected feature values as a Pandas dataframe."
]