components automl_many_models_training

AutoML - Many Models Training

Enables AutoML many models training.

Version: 0.0.7

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

Name	Description	Type	Default
raw_data	Folder URI with training data.	uri_folder
automl_config	The automl config yml/json used for training.	uri_file
compute_name	Compute name for train pipeline.	string
max_nodes	Number of nodes in a compute cluster we will run the train 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	integer	3600
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	False
early_validation_failure	Early failure when enabling validations in setup phase.	boolean	True

Name	Description	Type
run_output	Folder URI representing the location of the output data	uri_folder