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Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Andrew Ferlitsch
|
82314f6566 |
+80
-250
@@ -61,7 +61,7 @@
|
||||
"source": [
|
||||
"## Overview\n",
|
||||
"\n",
|
||||
"This notebook shows how to use the components defined in [`google_cloud_pipeline_components`](https://github.com/kubeflow/pipelines/tree/master/components/google-cloud) in conjunction with an experimental `evaluation` method, to build a [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines) workflow that uploads a tabular custom model as a `Model` resource, creates a `BatchPredictionJob` resource, and evaluates the `Model` resource with the `BatchPredictionJob` results to create an evaluation `system.Metrics` artifact.\n",
|
||||
"This notebook shows how to use the components defined in [`google_cloud_pipeline_components`](https://github.com/kubeflow/pipelines/tree/master/components/google-cloud) in conjunction with an experimental `evaluation` method, to build a [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines) workflow that uploads a tabular custom model as a `Model` resource, creates a `BatchPredictionJob` resource, and evaluates the `Model` resource with the `BatchPredictionJob` results to create an evaluation `system.Metrics` artifact. \n",
|
||||
"\n",
|
||||
"Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction) and [Vertex AI Model components](https://cloud.google.com/vertex-ai/docs/pipelines/model-endpoint-component)."
|
||||
]
|
||||
@@ -126,54 +126,12 @@
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "setup_local"
|
||||
},
|
||||
"source": [
|
||||
"### Set up your local development environment\n",
|
||||
"\n",
|
||||
"**If you are using Colab or Vertex AI Workbench Notebooks**, your environment already meets\n",
|
||||
"all the requirements to run this notebook.\n",
|
||||
"\n",
|
||||
"**Otherwise**, make sure your environment meets this notebook's requirements.\n",
|
||||
"You need the following:\n",
|
||||
"\n",
|
||||
"* The Google Cloud SDK\n",
|
||||
"* Git\n",
|
||||
"* Python 3\n",
|
||||
"* virtualenv\n",
|
||||
"* Jupyter notebook running in a virtual environment with Python 3\n",
|
||||
"\n",
|
||||
"The Google Cloud guide to [Setting up a Python development\n",
|
||||
"environment](https://cloud.google.com/python/setup) and the [Jupyter\n",
|
||||
"installation guide](https://jupyter.org/install) provide detailed instructions\n",
|
||||
"for meeting these requirements. The following steps provide a condensed set of\n",
|
||||
"instructions:\n",
|
||||
"\n",
|
||||
"1. [Install and initialize the Cloud SDK.](https://cloud.google.com/sdk/docs/)\n",
|
||||
"\n",
|
||||
"1. [Install Python 3.](https://cloud.google.com/python/setup#installing_python)\n",
|
||||
"\n",
|
||||
"1. [Install\n",
|
||||
" virtualenv](https://cloud.google.com/python/setup#installing_and_using_virtualenv)\n",
|
||||
" and create a virtual environment that uses Python 3. Activate the virtual environment.\n",
|
||||
"\n",
|
||||
"1. To install Jupyter, run `pip3 install jupyter` on the\n",
|
||||
"command-line in a terminal shell.\n",
|
||||
"\n",
|
||||
"1. To launch Jupyter, run `jupyter notebook` on the command-line in a terminal shell.\n",
|
||||
"\n",
|
||||
"1. Open this notebook in the Jupyter Notebook Dashboard."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "install_aip:mbsdk"
|
||||
"id": "i7EUnXsZhAGF"
|
||||
},
|
||||
"source": [
|
||||
"## Installation\n",
|
||||
"\n",
|
||||
"Install the latest version of Vertex AI and google-cloud-pipeline-components SDK for Python."
|
||||
"Install the following packages required to execute this notebook. "
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -184,157 +142,82 @@
|
||||
},
|
||||
"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",
|
||||
"\n",
|
||||
"! pip3 install --upgrade google-cloud-aiplatform \\\n",
|
||||
" 'google-cloud-pipeline-components<2' \\\n",
|
||||
" 'kfp<2' $USER_FLAG -q"
|
||||
"! pip3 install --upgrade --quiet google-cloud-aiplatform \\\n",
|
||||
" 'google-cloud-pipeline-components<2' \\\n",
|
||||
" 'kfp<2'"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "restart"
|
||||
"id": "58707a750154"
|
||||
},
|
||||
"source": [
|
||||
"### Restart the kernel\n",
|
||||
"\n",
|
||||
"After you install 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": "a1WZ6PC7Bfb8"
|
||||
"id": "f200f10a1da3"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Automatically restart kernel after installs\n",
|
||||
"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": "check_versions"
|
||||
"id": "BF1j6f9HApxa"
|
||||
},
|
||||
"source": [
|
||||
"### Check package versions\n",
|
||||
"## Before you begin\n",
|
||||
"\n",
|
||||
"Check the versions of the packages you installed. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "check_versions:kfp,gcpc"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! python3 -c \"import kfp; print('KFP SDK version: {}'.format(kfp.__version__))\"\n",
|
||||
"! python3 -c \"import google_cloud_pipeline_components; print('google_cloud_pipeline_components version: {}'.format(google_cloud_pipeline_components.__version__))\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "d6a00c14b087"
|
||||
},
|
||||
"source": [
|
||||
"## Before you begin"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "before_you_begin:nogpu"
|
||||
},
|
||||
"source": [
|
||||
"### 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 $300 free credit towards your compute/storage costs.\n",
|
||||
"\n",
|
||||
"1. [Make sure that billing is enabled for your project.](https://cloud.google.com/billing/docs/how-to/modify-project)\n",
|
||||
"2. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n",
|
||||
"\n",
|
||||
"1. [Enable the Vertex AI APIs, Compute Engine APIs, and Cloud Storage.](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com,compute_component,storage-component.googleapis.com)\n",
|
||||
"3. [Enable the Vertex AI API]\n",
|
||||
"\n",
|
||||
"1. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk).\n",
|
||||
"\n",
|
||||
"1. Enter your project ID in the cell below. Then run the cell to make sure the\n",
|
||||
"Cloud SDK uses the right project for all the commands in this notebook.\n",
|
||||
"\n",
|
||||
"**Note**: Jupyter runs lines prefixed with `!` as shell commands, and it interpolates Python variables prefixed with `$` into these commands."
|
||||
"4. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "50756f65354f"
|
||||
"id": "WReHDGG5g0XY"
|
||||
},
|
||||
"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": "set_project_id"
|
||||
"id": "oM1iC_MfAts1"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "autoset_project_id"
|
||||
},
|
||||
"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": "set_gcloud_project_id"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gcloud config set project $PROJECT_ID"
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
|
||||
"\n",
|
||||
"# Set the project id\n",
|
||||
"! gcloud config set project {PROJECT_ID}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -345,30 +228,18 @@
|
||||
"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",
|
||||
"Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
|
||||
"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "mXqsucfBBfb_"
|
||||
"id": "region"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"REGION = \"[your-region]\" # @param {type: \"string\"}\n",
|
||||
"\n",
|
||||
"if REGION == \"[your-region]\":\n",
|
||||
" REGION = \"us-central1\""
|
||||
"REGION = \"us-central1\" # @param {type: \"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -410,104 +281,78 @@
|
||||
"source": [
|
||||
"### Authenticate your Google Cloud account\n",
|
||||
"\n",
|
||||
"**If you are using Vertex AI Workbench Notebooks**, your environment is already\n",
|
||||
"authenticated. \n",
|
||||
"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below.\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",
|
||||
"**1. Vertex AI Workbench**\n",
|
||||
"* Do nothing as you are already authenticated.\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."
|
||||
"**2. Local JupyterLab instance, uncomment and run:**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "2q0yKPmeBfcA"
|
||||
"id": "ce6043da7b33"
|
||||
},
|
||||
"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 ''"
|
||||
"# ! gcloud auth login"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "bucket:mbsdk"
|
||||
"id": "0367eac06a10"
|
||||
},
|
||||
"source": [
|
||||
"**3. Colab, uncomment and run:**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "21ad4dbb4a61"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# from google.colab import auth\n",
|
||||
"# auth.authenticate_user()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "c13224697bfb"
|
||||
},
|
||||
"source": [
|
||||
"**4. Service account or other**\n",
|
||||
"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "zgPO1eR3CYjk"
|
||||
},
|
||||
"source": [
|
||||
"### Create a Cloud Storage bucket\n",
|
||||
"\n",
|
||||
"**The following steps are required, regardless of your notebook environment.**\n",
|
||||
"Create a storage bucket to store intermediate artifacts such as datasets.\n",
|
||||
"\n",
|
||||
"When you initialize the Vertex AI SDK for Python, you specify a Cloud Storage staging bucket. The staging bucket is where all the data associated with your dataset and model resources are retained across sessions.\n",
|
||||
"\n",
|
||||
"Set the name of your Cloud Storage bucket below. Bucket names must be globally unique across all Google Cloud projects, including those outside of your organization."
|
||||
"- *{Note to notebook author: For any user-provided strings that need to be unique (like bucket names or model ID's), append \"-unique\" to the end so proper testing can occur}*"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "bucket"
|
||||
"id": "MzGDU7TWdts_"
|
||||
},
|
||||
"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": "autoset_bucket"
|
||||
},
|
||||
"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}\""
|
||||
"BUCKET_URI = f\"gs://your-bucket-name-{PROJECT_ID}-unique\" # @param {type:\"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -523,31 +368,11 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "Av2hiwHuBfcB"
|
||||
"id": "NIq7R4HZCfIc"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil mb -l $REGION -p $PROJECT_ID $BUCKET_URI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "validate_bucket"
|
||||
},
|
||||
"source": [
|
||||
"Finally, validate access to your Cloud Storage bucket by examining its contents:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "00DHnc5dBfcB"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil ls -al $BUCKET_URI"
|
||||
"! gsutil mb -l {REGION} -p {PROJECT_ID} {BUCKET_URI}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -582,6 +407,9 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import sys\n",
|
||||
"\n",
|
||||
"IS_COLAB = \"google.colab\" in sys.modules\n",
|
||||
"if (\n",
|
||||
" SERVICE_ACCOUNT == \"\"\n",
|
||||
" or SERVICE_ACCOUNT is None\n",
|
||||
@@ -1061,6 +889,8 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"\n",
|
||||
"delete_bucket = False\n",
|
||||
"\n",
|
||||
"# Delete the created model\n",
|
||||
|
||||
Reference in New Issue
Block a user