mlem.api.deploy()

Deploy a model to target environment. Can use existing deployment declaration or create a new one on-the-fly.

def deploy(
    deploy_meta_or_path: Union[MlemDeploy, str],
    model: Union[MlemModel, str] = None,
    env: Union[MlemEnv, str] = None,
    project: Optional[str] = None,
    fs: Optional[AbstractFileSystem] = None,
    external: bool = None,
    index: bool = None,
    **deploy_kwargs,
) -> MlemDeploy

Description

This API is the underlying mechanism for the mlem deployment run command and provides a programmatic way to create deployments for a target environment.

Parameters

• deploy_meta_or_path (required) - Path to deployment meta (will be created if it does not exist)
• model (optional) - Path to model
• env (optional) - Path to target environment
• project (optional) - Path to MLEM project
• fs (optional) - filesystem to load deploy meta from. If not provided, will be inferred from deploy_meta_or_path
• external (optional) - Save result not in mlem dir, but directly in project
• index (optional) - Whether to index output in .mlem directory
• deploy_kwargs (optional) - Configuration for new deployment meta if it does not exist

Exceptions

• MlemObjectNotFound - Thrown if we can't find MLEM object
• ValueError - Please provide model and env args for new deployment