MLflow Model

laktory.models.resources.databricks.MLflowModel

Bases: MlflowModelBase

MLflow Model

Examples:

import io

from laktory import models

model_yaml = '''
name: my-mlflow-model
description: My MLflow model description
tags:
- key: key1
  value: value1
- key: key2
  value: value2
access_controls:
- group_name: account users
  permission_level: CAN_MANAGE_PRODUCTION_VERSIONS
'''
mlmodel = models.resources.databricks.MLflowModel.model_validate_yaml(
    io.StringIO(model_yaml)
)

References

• MLflow Model Registry

BASE	DESCRIPTION
description	The description of the MLflow model TYPE: str | None | VariableType DEFAULT: None
name	Name of MLflow model. Change of name triggers new resource TYPE: str | VariableType
tags	Tags for the MLflow model TYPE: list[MlflowModelTags] | 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.mlflowmodel.MlflowModelTag

Bases: BaseModel

PARAMETER	DESCRIPTION
key	TYPE: str | VariableType
value	TYPE: str | VariableType

---

laktory.models.resources.databricks.mlflowmodel.MlflowModelTags

Bases: BaseModel

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