kedro_azureml_pipeline.config¶

Pydantic configuration models for the Kedro AzureML Pipeline plugin.

Name	Description
`ClusterConfig`	Single compute cluster reference.
`ComputeConfig`	Named compute clusters with a mandatory `__default__` entry.
`CronScheduleConfig`	Cron schedule configuration mapping to `azure.ai.ml.entities.CronTrigger`.
`ExecutionConfig`	Code packaging and execution settings for Azure ML.
`JobConfig`	A single named job configuration.
`KedroAzureMLConfig`	Top-level plugin configuration loaded from `azureml.yml`.
`LimitsConfig`	Run-duration limits for Azure ML pipeline steps.
`NotificationConfig`	Notification for the runs of a job, posted to a webhook or the Slack API.
`PipelineFilterOptions`	Kedro pipeline filter options for selecting nodes.
`RecurrencePatternConfig`	Recurrence pattern mapping to `azure.ai.ml.entities.RecurrencePattern`.
`RecurrenceScheduleConfig`	Recurrence schedule mapping to `azure.ai.ml.entities.RecurrenceTrigger`.
`ScheduleConfig`	Schedule trigger configuration requiring exactly one of `cron` or `recurrence`.
`WorkspaceConfig`	Azure ML workspace identity.
`WorkspacesConfig`	Named workspaces with a mandatory `__default__` entry.