dq.init
def init(
task_type: str,
project_name: Optional[str] = None,
run_name: Optional[str] = None,
is_public: bool = False,
) -> None:
Initialize a new run and new project, initialize a new run in an existing project, or reinitialize an existing run in an existing project (will overwrite existing run upon
dq.finish).Random names are generated if not provided 🐨
Arguments | Text |
|---|---|
task_type | The task type for modeling. This must be one of the valid dq.schemas.task_type.TaskType options. |
project_name | The project name. If not passed in, a random one will be generated. |
run_name | The run name. If not passed in, a random one will be generated. |
is_public | Enterprise only. All projects are private in Galileo Cloud. Sets the project's visibility. Default False. |
Examples:
Typically used at the very beginning of your script/module/etc once to set the context for this run.
import dataquality as dq
dq.init(
task_type="text_classification",
project_name="my_awesome_project",
run_name="my_awesome_run"
)
# ... Your ML training code and the other dq functions
Last modified 26d ago