flip.nvflare.controllers.fed_evaluation
Classes
Model Evaluation workflow. |
Module Contents
- class flip.nvflare.controllers.fed_evaluation.ModelEval(task_check_period=0.5, submit_model_timeout=600, validation_timeout: int = 6000, model_locator_id='', formatter_id='', submit_model_task_name=AppConstants.TASK_SUBMIT_MODEL, evaluation_task_name=PTConstants.EvalTaskName, cleanup_models=False, participating_clients=None, wait_for_clients_timeout=300, cleanup_timeout=600, fatal_error_delay=5, model_id='')[source]
Bases:
nvflare.apis.impl.controller.ControllerModel Evaluation workflow.
- Parameters:
task_check_period (float, optional) – How often to check for new tasks or tasks being finished. Defaults to 0.5.
submit_model_timeout (int, optional) – Timeout of submit_model_task. Defaults to 600 secs.
validation_timeout (int, optional) – Timeout for validate_model task. Defaults to 6000 secs.
model_locator_id (str, optional) – ID for model_locator component. Defaults to “”.
formatter_id (str, optional) – ID for formatter component. Defaults to “”.
submit_model_task_name (str, optional) – Name of submit_model task. Defaults to “”.
validation_task_name (str, optional) – Name of validate_model task. Defaults to “validate”.
cleanup_models (bool, optional) – Whether models should be deleted after run. Defaults to False.
participating_clients (list, optional) – List of participating client names. If not provided, defaults to all clients connected at start of controller.
wait_for_clients_timeout (int, optional) – Timeout for clients to appear. Defaults to 300 secs
fatal_error_delay (int, optional) – Time in seconds to delay before calling ‘system_panic’ if a task returns an error result and ignore_result_error is set to false
model_id (str, required) – ID of the model that the training is being performed under.