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components automl_hts_inference_setup_step

github-actions[bot] edited this page Nov 5, 2024 · 17 revisions

AutoML HTS - Inference Setup

automl_hts_inference_setup_step

Overview

Version: 0.0.7

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

Inputs

Name Description Type Default Optional Enum
raw_data Folder URI with inference data. uri_folder
instance_count Number of nodes in a compute cluster we will run the inference step on. integer
max_concurrency_per_instance 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 setting in 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 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
forecast_quantiles Space separated list of quantiles for forecasting jobs. It is applicable only when the forecast_mode is recursive. string True
optional_train_metadata Metadata from training run. uri_folder True
enable_event_logger Enable event logger. boolean True

Outputs

Name Description Type
metadata Metadata calculated. uri_folder
processed_data Processed input data. uri_folder

Environment

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

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