Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.

Manage model monitor

This page describes how to update and delete model monitors.

Update a model monitor

Update a model monitor to modify the default configuration for monitoring jobs. You can't change the model version that a model monitor is associated with. Instead, create a new model monitor.

Console

In the Google Cloud console, go to the Monitoring page.

Go to Monitoring
Click the model monitor to go to the Monitor details page.
Click Edit configuration to update the model monitor.
Modify your schema, notifications, training data source, and objectives.
Click Save.

Python SDK

You can update the following specifications:

Display name
Training dataset
Model schema
Default monitoring objectives
Default monitoring output specification
Default monitoring notification specification
Default explanation specification for feature attribution

The following example updates the model schema:

monitor_2.update(model_monitoring_schema=MODEL_MONITORING_SCHEMA)

Delete a model monitor

Remove model monitors to prevent authorized users from inadvertently running monitoring jobs on unused model monitors. When you delete a model monitor, any associated monitoring data is deleted except for metrics and statistics exported by Monitoring, which remain in Cloud Monitoring and in your Cloud Storage.

Console

In the Google Cloud console, go to the Monitoring page.

Go to Monitoring
Click the model monitor to go to the Monitor details page.
Click Edit configuration to update the model monitor.

Python SDK

from google.cloud.aiplatform.private_preview.centralized_model_monitoring
import model_monitor

my_model_monitor.delete(force=true)