gptkbp:instance_of
|
gptkb:Command_Line_Interface
|
gptkbp:allows
|
Experiment Tracking
|
gptkbp:can_be_used_for
|
Data Science Projects
|
gptkbp:can_be_used_to
|
Create Workspaces
Deploy Web Services
Manage Application Insights
Manage Compute Clusters
Manage Compute Instances
Manage Configurations
Manage Data Drift
Manage Data Stores
Manage Datasets
Manage Endpoints
Manage Environments
Manage Experiments
Manage Feature Store
Manage Model Drift
Manage Models
Manage Pipelines
Manage Pipelines Runs
Manage Resource Groups
Manage Secrets
Manage Workspaces
Monitor Models
Submit Experiments
|
gptkbp:can_be_used_with
|
gptkb:Jupyter_Notebooks
|
gptkbp:developed_by
|
gptkb:Microsoft
|
gptkbp:enables
|
gptkb:collaboration
gptkb:Hyperparameter_Tuning
Data Preparation
|
gptkbp:facilitates
|
Deployment of Models
|
https://www.w3.org/2000/01/rdf-schema#label
|
Azure ML CLI
|
gptkbp:integrates_with
|
Azure Services
|
gptkbp:is_accessible_by
|
gptkb:Azure_Cloud_Shell
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
gptkbp:is_available_in
|
gptkb:Azure_Portal
|
gptkbp:is_compatible_with
|
gptkb:Azure_Dev_Ops
|
gptkbp:is_documented_in
|
Microsoft Documentation
|
gptkbp:is_part_of
|
gptkb:Azure_Machine_Learning
|
gptkbp:offers
|
gptkb:machine_learning
|
gptkbp:provides
|
Model Management
Pipeline Management
Data Versioning
Compute Management
|
gptkbp:requires
|
Azure Subscription
|
gptkbp:supports
|
gptkb:Apache_Hive
gptkb:Python
Docker Containers
REST APIs
Batch Inference
|
gptkbp:used_for
|
gptkb:machine_learning
|
gptkbp:bfsParent
|
gptkb:Microsoft_cloud_services
|
gptkbp:bfsLayer
|
6
|