snowflake.ml.jobs.MLJob¶

class snowflake.ml.jobs.MLJob(id: str, service_spec: Optional[Dict[str, Any]] = None, session: Optional[Session] = None)¶

Bases: Generic[T]

Methods

get_logs(limit: int = - 1, instance_id: Optional[int] = None) → str¶

Return the job’s execution logs.

Parameters:

limit – The maximum number of lines to return. Negative values are treated as no limit.
instance_id – Optional instance ID to get logs from a specific instance. If not provided, returns logs from the head node.

Returns:

The job’s execution logs.

This function or method is in private preview since 1.7.4.

result(timeout: float = - 1) → T¶

Block until completion. Returns job execution result.

Parameters:

timeout – The maximum time to wait in seconds. Negative values are treated as no timeout.

Returns:

The deserialized job result. # noqa: DAR401

Return type:

Raises:

RuntimeError – If the job failed or if the job doesn’t have a result to retrieve.
TimeoutError – If the job does not complete within the specified timeout. # noqa: DAR402

This function or method is in private preview since 1.8.2.

show_logs(limit: int = - 1, instance_id: Optional[int] = None) → None¶

Display the job’s execution logs.

Parameters:

limit – The maximum number of lines to display. Negative values are treated as no limit.
instance_id – Optional instance ID to get logs from a specific instance. If not provided, displays logs from the head node.

This function or method is in private preview since 1.7.4.

wait(timeout: float = - 1) → Literal['PENDING', 'RUNNING', 'FAILED', 'DONE', 'INTERNAL_ERROR']¶

Block until completion. Returns completion status.

Parameters:: timeout – The maximum time to wait in seconds. Negative values are treated as no timeout.
Returns:: The job’s completion status.
Raises:: TimeoutError – If the job does not complete within the specified timeout.

This function or method is in private preview since 1.7.4.

Attributes