Inference component for AutoML Forecasting.

Version: 0.0.10

View in Studio: https://ml.azure.com/registries/azureml/components/automl_forecasting_inference/version/0.0.10

Name	Description	Type	Default	Optional	Enum
test_data	Test data folder with csv or parquet file.	uri_folder
model_path	The trained AutoML Forecasting MLFLOW model.	mlflow_model
target_column_name	The name of the target column.	string
forecast_mode	The forecast mode used for inference, possible values are recursive and rolling.	string	recursive		['recursive', 'rolling']
forecast_step	The forecast step used for rolling forecast. See more details here: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-forecast?view=azureml-api-2#evaluating-model-accuracy-with-a-rolling-forecast	integer	1	True
forecast_quantiles	The quantiles for forecasting, comma separated string of float values, e.g. '0.1,0.5,0.9'.	string		True

Name	Description	Type
inference_output_file	Inference output data file.	uri_file
evaluation_config_output_file	The evaluation config file which can be consumed by the compute metrics component.	uri_file

azureml://registries/azureml/environments/automl-gpu/labels/latest