models¶

Classes¶

`AzureMLBaseConfig`	Base configuration for Azure Machine Learning configurations (YAML files).
`ComponentConfig`	Component config class.
`PipelineConfig`	Pipeline config class.
`JobConfig`	Job config class.
`OnlineEndpointConfig`	Online endpoint config class.
`OnlineDeploymentConfig`	Online deployment config class.

Module Contents¶

class models.AzureMLBaseConfig¶

Bases: pydantic.BaseModel

Base configuration for Azure Machine Learning configurations (YAML files).

entity: str¶

name: str¶

description: str | None = None¶

class models.ComponentConfig¶

Bases: AzureMLBaseConfig

Component config class.

entity: Literal['component']¶

environment: str¶

compute: str | None = None¶

command: str¶

inputs: dict | None = None¶

outputs: dict | None = None¶

class models.PipelineConfig¶

Bases: AzureMLBaseConfig

Pipeline config class.

entity: Literal['pipeline']¶

jobs: List[ComponentConfig]¶

default_compute: str | None = None¶

inputs: dict | None = None¶

outputs: dict | None = None¶

class models.JobConfig¶

Bases: AzureMLBaseConfig

Job config class.

entity: Literal['job']¶

environment: str¶

compute: str¶

command: str¶

inputs: dict | None = None¶

outputs: dict | None = None¶

class models.OnlineEndpointConfig¶

Bases: AzureMLBaseConfig

Online endpoint config class.

entity: Literal['online_endpoint']¶

auth_mode: Literal['key', 'aad']¶

class models.OnlineDeploymentConfig¶

Bases: AzureMLBaseConfig

Online deployment config class.

entity: Literal['online_deployment']¶

endpoint_name: str¶

model: str¶

scoring_path: str¶

scoring_script: str¶

environment: str¶

instance_type: str¶

instance_count: int¶