mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
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Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Andrew FerlitschandGitHub
|
4a57963eb6 | ||
|
Andrew Ferlitsch
|
4b8d9806b7 |
+126
-251
@@ -185,24 +185,11 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"\n",
|
||||
"# The Vertex AI Workbench Notebook product has specific requirements\n",
|
||||
"IS_WORKBENCH_NOTEBOOK = os.getenv(\"DL_ANACONDA_HOME\")\n",
|
||||
"IS_USER_MANAGED_WORKBENCH_NOTEBOOK = os.path.exists(\n",
|
||||
" \"/opt/deeplearning/metadata/env_version\"\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"# Vertex AI Notebook requires dependencies to be installed with '--user'\n",
|
||||
"USER_FLAG = \"\"\n",
|
||||
"if IS_WORKBENCH_NOTEBOOK:\n",
|
||||
" USER_FLAG = \"--user\"\n",
|
||||
" \n",
|
||||
"! pip3 install {USER_FLAG} --upgrade google-cloud-aiplatform \\\n",
|
||||
"! pip3 install --quiet --upgrade google-cloud-aiplatform \\\n",
|
||||
" google-cloud-storage \\\n",
|
||||
" xgboost \\\n",
|
||||
" seaborn \\\n",
|
||||
" sklearn \\\n",
|
||||
" scikit-learn \\\n",
|
||||
" fsspec \\\n",
|
||||
" gcsfs \\\n",
|
||||
" pandas -q"
|
||||
@@ -211,123 +198,66 @@
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "eda79cca981d"
|
||||
"id": "e9255e3b156f"
|
||||
},
|
||||
"source": [
|
||||
"### Restart the kernel\n",
|
||||
"\n",
|
||||
"Once you've installed the additional packages, you need to restart the notebook kernel so it can find the packages."
|
||||
"### Colab Only: Uncomment the following cell to restart the kernel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "e200999cabe5"
|
||||
"id": "0c0b2427998a"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"# Automatically restart kernel after installs so that your environment can access the new packages\n",
|
||||
"# import IPython\n",
|
||||
"\n",
|
||||
"if not os.getenv(\"IS_TESTING\"):\n",
|
||||
" # Automatically restart kernel after installs\n",
|
||||
" import IPython\n",
|
||||
"\n",
|
||||
" app = IPython.Application.instance()\n",
|
||||
" app.kernel.do_shutdown(True)"
|
||||
"# app = IPython.Application.instance()\n",
|
||||
"# app.kernel.do_shutdown(True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "5b15a97278df"
|
||||
"id": "435b8e413535"
|
||||
},
|
||||
"source": [
|
||||
"## Before you begin \n",
|
||||
"### Before you begin\n",
|
||||
"\n",
|
||||
"### Set up your Google Cloud project\n",
|
||||
"\n",
|
||||
"**The following steps are required, regardless of your notebook environment.**\n",
|
||||
"\n",
|
||||
"1. [Select or create a Google Cloud project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
|
||||
"\n",
|
||||
"1. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n",
|
||||
"\n",
|
||||
"1. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n",
|
||||
"\n",
|
||||
"1. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk).\n",
|
||||
"\n",
|
||||
"1. Enter your project ID in the cell below. Then run the cell to make sure the\n",
|
||||
"Cloud SDK uses the right project for all the commands in this notebook.\n",
|
||||
"\n",
|
||||
"**Note**: Jupyter runs lines prefixed with `!` as shell commands, and it interpolates Python variables prefixed with `$` into these commands."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "5aee4379e8e5"
|
||||
},
|
||||
"source": [
|
||||
"#### Set your project ID\n",
|
||||
"\n",
|
||||
"**If you don't know your project ID**, you may be able to get your project ID using `gcloud`."
|
||||
"**If you don't know your project ID**, try the following:\n",
|
||||
"- Run `gcloud config list`\n",
|
||||
"- Run `gcloud projects list`\n",
|
||||
"- See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "d229c5c1db1b"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "5bf9979b96ff"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"if PROJECT_ID == \"\" or PROJECT_ID is None or PROJECT_ID == \"[your-project-id]\":\n",
|
||||
" # Get your GCP project id from gcloud\n",
|
||||
" shell_output = ! gcloud config list --format 'value(core.project)' 2>/dev/null\n",
|
||||
" PROJECT_ID = shell_output[0]\n",
|
||||
" print(\"Project ID:\", PROJECT_ID)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "09021c90b34c"
|
||||
"id": "be175254a715"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
|
||||
"\n",
|
||||
"# set the project id\n",
|
||||
"! gcloud config set project $PROJECT_ID"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "9658ecf524b1"
|
||||
"id": "2e6b8b324ce1"
|
||||
},
|
||||
"source": [
|
||||
"#### Region\n",
|
||||
"\n",
|
||||
"You can also change the `REGION` variable, which is used for operations\n",
|
||||
"throughout the rest of this notebook. Below are regions supported for Vertex AI. It is recommended that you choose the region closest to you.\n",
|
||||
"\n",
|
||||
"- Americas: `us-central1`\n",
|
||||
"- Europe: `europe-west4`\n",
|
||||
"- Asia Pacific: `asia-east1`\n",
|
||||
"\n",
|
||||
"You may not use a multi-regional bucket for training with Vertex AI. Not all regions provide support for all Vertex AI services.\n",
|
||||
"\n",
|
||||
"You can also change the `REGION` variable used by Vertex AI. \n",
|
||||
"Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
|
||||
]
|
||||
},
|
||||
@@ -335,20 +265,118 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "5c615e53149f"
|
||||
"id": "ae43d96c4b1b"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"REGION = \"[your-region]\" # @param {type: \"string\"}\n",
|
||||
"\n",
|
||||
"if REGION == \"[your-region]\":\n",
|
||||
" REGION = \"us-central1\""
|
||||
"REGION = \"[your-region]\" # @param {type: \"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "f66f96816fd0"
|
||||
"id": "6c43a8673066"
|
||||
},
|
||||
"source": [
|
||||
"### Authenticate your Google Cloud account\n",
|
||||
"\n",
|
||||
"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below.\n",
|
||||
"\n",
|
||||
"**1. Vertex AI Workbench** \n",
|
||||
"- Do nothing as you are already authenticated.\n",
|
||||
"\n",
|
||||
"**2. Local JupyterLab Instance,** uncomment and run."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "fbc9cd30cc4b"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# ! gcloud auth login"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "cd0da2c26879"
|
||||
},
|
||||
"source": [
|
||||
"**3. Colab,** uncomment and run:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "a336a05c6149"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# from google.colab import auth\n",
|
||||
"# auth.authenticate_user()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "0461097edfa5"
|
||||
},
|
||||
"source": [
|
||||
"**4. Service Account or other**\n",
|
||||
"- See all the authentication options here: [Google Cloud Platform Jupyter Notebook Authentication Guide](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/notebook_authentication_guide.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "e5755d1a554f"
|
||||
},
|
||||
"source": [
|
||||
"### Create a Cloud Storage bucket\n",
|
||||
"\n",
|
||||
"Create a storage bucket to store intermediate artifacts such as datasets."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "d2de92accb67"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"BUCKET_NAME = \"your-bucket-name-unique\" # @param {type:\"string\"}\n",
|
||||
"BUCKET_URI = f\"gs://{BUCKET_NAME}\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "b72bfdf29dae"
|
||||
},
|
||||
"source": [
|
||||
"**Only if your bucket doesn't already exist**: Run the following cell to create your Cloud Storage bucket."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "a4453435d115"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil mb -l $REGION $BUCKET_URI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "06571eb4063b"
|
||||
},
|
||||
"source": [
|
||||
"#### UUID\n",
|
||||
@@ -360,7 +388,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "ac7ff88c7f84"
|
||||
"id": "697568e92bd6"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -376,159 +404,6 @@
|
||||
"UUID = generate_uuid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "df899ce9999c"
|
||||
},
|
||||
"source": [
|
||||
"### Authenticate your Google Cloud account\n",
|
||||
"\n",
|
||||
"**If you are using Vertex AI Workbench Notebooks**, your environment is already\n",
|
||||
"authenticated.\n",
|
||||
"\n",
|
||||
"**If you are using Colab**, run the cell below and follow the instructions\n",
|
||||
"when prompted to authenticate your account via oAuth.\n",
|
||||
"\n",
|
||||
"**Otherwise**, follow these steps:\n",
|
||||
"\n",
|
||||
"1. In the Cloud Console, go to the [**Create service account key**\n",
|
||||
" page](https://console.cloud.google.com/apis/credentials/serviceaccountkey).\n",
|
||||
"\n",
|
||||
"2. Click **Create service account**.\n",
|
||||
"\n",
|
||||
"3. In the **Service account name** field, enter a name, and\n",
|
||||
" click **Create**.\n",
|
||||
"\n",
|
||||
"4. In the **Grant this service account access to project** section, click the **Role** drop-down list. Type \"Vertex AI\"\n",
|
||||
"into the filter box, and select\n",
|
||||
" **Vertex AI Administrator**. Type \"Storage Object Admin\" into the filter box, and select **Storage Object Admin**.\n",
|
||||
"\n",
|
||||
"5. Click *Create*. A JSON file that contains your key downloads to your\n",
|
||||
"local environment.\n",
|
||||
"\n",
|
||||
"6. Enter the path to your service account key as the\n",
|
||||
"`GOOGLE_APPLICATION_CREDENTIALS` variable in the cell below and run the cell."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "201e8e760d22"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# If you are running this notebook in Colab, run this cell and follow the\n",
|
||||
"# instructions to authenticate your GCP account. This provides access to your\n",
|
||||
"# Cloud Storage bucket and lets you submit training jobs and prediction\n",
|
||||
"# requests.\n",
|
||||
"\n",
|
||||
"import os\n",
|
||||
"import sys\n",
|
||||
"\n",
|
||||
"# If on Vertex AI Workbench, then don't execute this code\n",
|
||||
"IS_COLAB = \"google.colab\" in sys.modules\n",
|
||||
"if not os.path.exists(\"/opt/deeplearning/metadata/env_version\") and not os.getenv(\n",
|
||||
" \"DL_ANACONDA_HOME\"\n",
|
||||
"):\n",
|
||||
" if \"google.colab\" in sys.modules:\n",
|
||||
" from google.colab import auth as google_auth\n",
|
||||
"\n",
|
||||
" google_auth.authenticate_user()\n",
|
||||
"\n",
|
||||
" # If you are running this notebook locally, replace the string below with the\n",
|
||||
" # path to your service account key and run this cell to authenticate your GCP\n",
|
||||
" # account.\n",
|
||||
" elif not os.getenv(\"IS_TESTING\"):\n",
|
||||
" %env GOOGLE_APPLICATION_CREDENTIALS ''"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ea53caa30628"
|
||||
},
|
||||
"source": [
|
||||
"### Create a Cloud Storage bucket\n",
|
||||
"\n",
|
||||
"**The following steps are required, regardless of your notebook environment.**\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"When you create a model in Vertex AI using the Cloud SDK, you give a Cloud Storage path where the trained model is saved. \n",
|
||||
"In this tutorial, Vertex AI saves the trained model to a Cloud Storage bucket. Using this model artifact, you can then\n",
|
||||
"create Vertex AI model and endpoint resources in order to serve\n",
|
||||
"online predictions.\n",
|
||||
"\n",
|
||||
"Set the name of your Cloud Storage bucket below. It must be unique across all\n",
|
||||
"Cloud Storage buckets."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "4a1a3af1611d"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"BUCKET_NAME = \"[your-bucket-name]\" # @param {type:\"string\"}\n",
|
||||
"BUCKET_URI = f\"gs://{BUCKET_NAME}\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "31f8a617f42f"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"if BUCKET_NAME == \"\" or BUCKET_NAME is None or BUCKET_NAME == \"[your-bucket-name]\":\n",
|
||||
" BUCKET_NAME = PROJECT_ID + \"aip-\" + UUID\n",
|
||||
" BUCKET_URI = f\"gs://{BUCKET_NAME}\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "e27907c70873"
|
||||
},
|
||||
"source": [
|
||||
"<b>Only if your bucket doesn't already exist</b>: Run the following cell to create your Cloud Storage bucket."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "dbd413ba606f"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil mb -l $REGION $BUCKET_URI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "7481ea67bbe2"
|
||||
},
|
||||
"source": [
|
||||
"Next, validate access to your Cloud Storage bucket by examining its contents:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "0237e1b73154"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil ls -al $BUCKET_URI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
|
||||
Reference in New Issue
Block a user