components mlflow_model_local_validation

MLFlow model local validation

mlflow_model_local_validation

Overview

Description: Validates if a MLFLow model can be loaded on a compute and is usable for inferencing.

Version: 0.0.5

Tags

Preview

View in Studio: https://ml.azure.com/registries/azureml/components/mlflow_model_local_validation/version/0.0.5

Inputs

Name	Description	Type	Default	Optional	Enum
model_path	MLFlow model to be validated	mlflow_model
test_data_path	Test dataset for model inferencing	uri_file		True
column_rename_map	Provide mapping of dataset column names that should be renamed before inferencing. eg: col1:ren1; col2:ren2; col3:ren3	string		True

Outputs

Name	Description	Type
mlflow_model_folder	Validated input model. Here input model is used to block further steps in pipeline job if local validation fails	uri_folder

Environment

azureml://registries/azureml/environments/python-sdk-v2/versions/9