Package-level declarations
Types
Level at which content is filtered.
Policy for sharing applications on this compute instance among users of parent workspace. If Personal, only the creator can access applications on this compute instance. When Shared, any workspace user can access applications on this instance depending on his/her assigned role.
When to check if an asset is expired
Defines if image needs to be rebuilt based on base image changes.
Logging level for batch inference operation.
Indicates how the output will be organized.
Enum for all classification models supported by AutoML.
Kind of this capability host.
Enum for all classification models supported by AutoML.
Primary metric to optimize for this task.
Primary metric for Text-Classification task.
Intended usage of the cluster
The Compute Instance Authorization type. Available values are personal (default).
Required The compute power action.
Category of the connection
The type of container to retrieve logs from.
Specifies dataset type.
Specifies datastore type.
Deployment model version upgrade option.
If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
Enum to determine the email notification type.
Indicates whether or not the encryption is enabled for the workspace.
Required Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication. 'Key' doesn't expire but 'AMLToken' does.
Connection status of the service consumer with the service provider
Type of the Environment Variable. Possible values are: local - For local variable
Specifies the data type
Flag for generating lags for the numeric features with 'auto' or null.
Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase. If 'Off' is selected then no featurization is done. If 'Custom' is selected then user can specify additional inputs to customize how featurization is done.
Enum for all forecasting models supported by AutoML.
Primary metric for forecasting task.
Annotation type of image labeling job.
Indicates whether to enable incremental data refresh.
Input Asset Delivery Mode.
Primary metric to optimize for this task.
Type of learning rate scheduler. Must be 'warmup_cosine' or 'step'.
Type of the link target.
Load Balancer Type
Log verbosity for the job.
Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
Specifies the stores to which materialization should happen
Indicates whether it is allowed to select multiple classes in this category.
Primary metric to optimize for this task.
The OS type of the environment.
Output Asset Delivery Mode.
Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
Whether requests from Public Network are allowed.
Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
Content source to apply the Content Filters.
Content Filters mode.
Content Filters policy type.
The specific type of random algorithm
Required The frequency to trigger schedule.
Enum for all Regression models supported by AutoML.
Primary metric for regression task.
State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on all nodes of the cluster. Enabled - Indicates that the public ssh port is open on all nodes of the cluster. NotSpecified - Indicates that the public ssh port is closed on all nodes of the cluster if VNet is defined, else is open all public nodes. It can be default only during cluster creation time, after creation it will be either enabled or disabled.
The identity type.
Category of a managed network Outbound Rule of a machine learning workspace.
Status of a managed network Outbound Rule of a machine learning workspace.
Required The algorithm used for generating hyperparameter values, along with configuration properties
The current deployment state of schedule.
Is the schedule enabled or disabled?
Specifies the authentication mode for the Serverless endpoint.
Indicates which identity to use to authenticate service data access to customer's storage.
The parameter defining how if AutoML should handle short time series.
Data source type.
State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on this instance. Enabled - Indicates that the public ssh port is open and accessible according to the VNet/subnet policy if applicable.
Enable or disable ssl for scoring
The meta-learner is a model trained on the output of the individual heterogeneous models.
Type of optimizer.
The function to be used to aggregate the time series target column to conform to a user specified frequency. If the TargetAggregateFunction is set i.e. not 'None', but the freq parameter is not set, the error is raised. The possible target aggregation functions are: "sum", "max", "min" and "mean".
Annotation type of text labeling job.
Required
Metric computation method to use for validation metrics.
format for the workspace connection value
Virtual Machine priority
Type of Volume Definition. Possible Values: bind,volume,tmpfs,npipe