MLflow Experiment

laktory.models.resources.databricks.MLflowExperiment

Bases: MlflowExperimentBase

MLflow Experiment

Examples:

import io

from laktory import models

exp_yaml = '''
name: /.laktory/Sample
artifact_location: dbfs:/tmp/my-experiment
description: My MLflow experiment description
access_controls:
- group_name: account users
  permission_level: CAN_MANAGE
'''
exp = models.resources.databricks.MLflowExperiment.model_validate_yaml(
    io.StringIO(exp_yaml)
)

References

• MLflow Experiment

BASE	DESCRIPTION
artifact_location	Path to artifact location of the MLflow experiment TYPE: str | None | VariableType DEFAULT: None
creation_time	TYPE: int | None | VariableType DEFAULT: None
description	TYPE: str | None | VariableType DEFAULT: None
experiment_id	TYPE: str | None | VariableType DEFAULT: None
last_update_time	TYPE: int | None | VariableType DEFAULT: None
lifecycle_stage	TYPE: str | None | VariableType DEFAULT: None
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 | VariableType
tags	Tags for the MLflow experiment TYPE: list[MlflowExperimentTags] | None | VariableType DEFAULT: None
timeouts	TYPE: MlflowExperimentTimeouts | None | VariableType DEFAULT: None

LAKTORY	DESCRIPTION
access_controls	Access controls list TYPE: list[AccessControl | VariableType] | VariableType DEFAULT: []

ATTRIBUTE	DESCRIPTION
additional_core_resources	permissions TYPE: list

additional_core_resources property

• permissions

---

laktory.models.resources.databricks.mlflowexperiment.MlflowExperimentTags

Bases: BaseModel

PARAMETER	DESCRIPTION
key	TYPE: str | None | VariableType DEFAULT: None
value	TYPE: str | None | VariableType DEFAULT: None

---

laktory.models.resources.databricks.mlflowexperiment.MlflowExperimentTimeouts

Bases: BaseModel