Appearance
Commands Reference
Here's a commands reference page for Vertex AI Studio, using Mermaid flowchart diagrams and markdown tables:
Vertex AI Studio Commands Reference
Command Categories
Project Management
| Command | Description |
|---|---|
gcloud ai-platform create-project | Create a new Vertex AI Studio project |
gcloud ai-platform list-projects | List all available projects |
gcloud ai-platform delete-project | Delete an existing project |
Notebooks
| Command | Description |
|---|---|
gcloud ai-platform notebooks list | List all available notebooks |
gcloud ai-platform notebooks create | Create a new notebook instance |
gcloud ai-platform notebooks delete | Delete an existing notebook instance |
gcloud ai-platform notebooks describe | Describe an existing notebook instance |
gcloud ai-platform notebooks start | Start an existing notebook instance |
gcloud ai-platform notebooks stop | Stop an existing notebook instance |
Models
| Command | Description |
|---|---|
gcloud ai-platform models list | List all available models |
gcloud ai-platform models create | Create a new model |
gcloud ai-platform models update | Update an existing model |
gcloud ai-platform models delete | Delete an existing model |
gcloud ai-platform versions list | List all model versions |
gcloud ai-platform versions create | Create a new model version |
gcloud ai-platform versions update | Update an existing model version |
gcloud ai-platform versions delete | Delete an existing model version |
Datasets
| Command | Description |
|---|---|
gcloud ai-platform datasets list | List all available datasets |
gcloud ai-platform datasets create | Create a new dataset |
gcloud ai-platform datasets update | Update an existing dataset |
gcloud ai-platform datasets delete | Delete an existing dataset |
Endpoints
| Command | Description |
|---|---|
gcloud ai-platform endpoints list | List all available endpoints |
gcloud ai-platform endpoints create | Create a new endpoint |
gcloud ai-platform endpoints update | Update an existing endpoint |
gcloud ai-platform endpoints delete | Delete an existing endpoint |
gcloud ai-platform predict | Make a prediction using an endpoint |
Hyperparameter Tuning
| Command | Description |
|---|---|
gcloud ai-platform jobs submit training | Submit a hyperparameter tuning job |
gcloud ai-platform jobs list | List all available hyperparameter tuning jobs |
gcloud ai-platform jobs describe | Describe an existing hyperparameter tuning job |
gcloud ai-platform jobs cancel | Cancel an existing hyperparameter tuning job |
Monitoring and Logging
| Command | Description |
|---|---|
gcloud logging read | Read logs from the Logging API |
gcloud ai-platform tensorboard logs | View TensorBoard logs for a job |
gcloud ai-platform tensorboard describe | Describe an existing TensorBoard instance |
gcloud ai-platform tensorboard delete | Delete an existing TensorBoard instance |
Useful Snippets
bash
# Create a new notebook instance
gcloud ai-platform notebooks create my-notebook --machine-type=n1-standard-4 --vm-image-project=deeplearning-platform-release --vm-image-family=common-cpu
# Create a new model
gcloud ai-platform models create my-model --regions=us-central1
# Create a new model version
gcloud ai-platform versions create v1 --model=my-model --origin=gs://my-bucket/model_artifacts --runtime-version=2.6
# Submit a hyperparameter tuning job
gcloud ai-platform jobs submit training my-hpt-job --scale-tier=STANDARD_1 --config=hpt_config.yamlRemember to replace the placeholders (e.g., my-notebook, my-model, my-hpt-job) with your desired names and configurations.