MLflow Experiment

laktory.models.resources.databricks.MLflowExperiment

Bases: BaseModel, PulumiResource, TerraformResource

MLflow Experiment

ATTRIBUTE	DESCRIPTION
access_controls	MLflow Experiment access controls TYPE: list[AccessControl]
artifact_location	Path to dbfs:/ or s3:// artifact location of the MLflow experiment. TYPE: str
creation_time	TYPE: int
description	The description of the MLflow experiment. TYPE: str
experiment_id	TYPE: str
last_update_time	TYPE: int
lifecycle_stage	TYPE: str
name	Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs. TYPE: str

Examples:

from laktory import models

exp = models.resources.databricks.MLflowExperiment(
    name="/.laktory/Sample",
    artifact_location="dbfs:/tmp/my-experiment",
    description="My MLflow experiment description",
    access_controls=[
        {
            "group_name": "account users",
            "permission_level": "CAN_MANAGE",
        }
    ],
)

ATTRIBUTE	DESCRIPTION
additional_core_resources	permissions TYPE: list[PulumiResource]

Attributes

additional_core_resources property

additional_core_resources

• permissions