components automl_hts_inference - Azure/azureml-assets GitHub Wiki

AutoML Hierarchical Timeseries Forecasting - Inference

automl_hts_inference

Overview

Enables inference for hts components.

Version: 0.0.7

View in Studio: https://ml.azure.com/registries/azureml/components/automl_hts_inference/version/0.0.7

Inputs

Name Description Type Default Optional Enum
raw_data Folder URI with inference data. uri_folder
compute_name Compute name for inference pipeline. string
max_nodes Number of nodes in a compute cluster we will run the inference step on. integer
max_concurrency_per_node Number of processes that will be run concurrently on any given node. This number should not be larger than 1/2 of the number of cores in an individual node in the specified cluster integer
parallel_step_timeout_in_seconds The PRS step time out settings is seconds. integer 3600
train_run_id The train run id used for training models that will be used to generate forecasts. string True
train_experiment_name The train experiment used for inference. string True
forecast_mode The forecast mode used for inference. The possible values are recursive and rolling. string recursive True ['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
allocation_method Method that allocates forecasts within a hierarchy. Possible values are average_historical_proportions and proportions_of_historical_average string average_historical_proportions ['average_historical_proportions', 'proportions_of_historical_average']
forecast_level Specify the level of the hierarchy for which you are interested in obtaining the forecast for. string
optional_train_metadata Metadata from training run. uri_folder True
forecast_quantiles Space separated list of quantiles to get forecasts for forecast quantiles for forecasting jobs. It is applicable only when the forecast_mode is recursive. string True

Outputs

Name Description Type
run_output Folder URI representing the location of the output data uri_folder
evaluation_configs The evaluation configs. uri_file
evaluation_data The evaluation data. uri_file
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