components automl_many_models_training_step - Azure/azureml-assets GitHub Wiki
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 | Enum |
|---|---|---|---|---|---|
| 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 |