mantik.cli.runs.local¶
Attributes¶
Functions¶
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Run an MLflow project locally and save the results in Mantik API |
Module Contents¶
- mantik.cli.runs.local.run_project(name: str, mlproject_path: pathlib.Path, entry_point: str, parameter: List[str], verbose: bool, project_id: uuid.UUID, data_repository_id: uuid.UUID | None, data_target_dir: str | None, data_branch: str | None, data_commit: str | None, experiment_repository_id: uuid.UUID, code_repository_id: uuid.UUID, branch: str | None, commit: str | None, env_manager: str | None) None [source]¶
Run an MLflow project locally and save the results in Mantik API
Note that MLPROJECT_PATH is the relative path to the MLflow project file with your Code Repository as root.
Remember that when you execute a run, the code is retrieved from your remote Git Code Repository. So make sure to commit and push your changes before executing a run!
To find the respective required IDs make sure to check Mantik’s UI