components automl_many_models_training_step

AutoML Many Models - AutoML Training

Version: 0.0.7

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

Name	Description	Type	Default	Optional
partitioned_data	Folder URI with partioned data from previous step	uri_folder
metadata	The metadata calculated from the setup step	uri_folder
instance_count	Number of nodes in a compute cluster we will run the train 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 settings in seconds	integer
retrain_failed_model	Flag to enable re-training for failed models. This is useful if you have done previous many models runs that resulted in failed AutoML jobs on some data partitions. When this flag is enabled, many models will only launch training jobs for previously failed partitions.	boolean
enable_event_logger	Enable event logger.	boolean	True	True

Name	Description	Type
output_metadata		uri_folder
prs_output		uri_folder