Source code for evalml.automl.callbacks

from evalml.exceptions import PipelineScoreError
from evalml.utils.logger import get_logger

logger = get_logger(__file__)


[docs]def silent_error_callback(exception, traceback, automl, **kwargs): """No-op."""
[docs]def raise_error_callback(exception, traceback, automl, **kwargs): """Raises the exception thrown by the AutoMLSearch object. Also logs the exception as an error.""" logger.error(f'AutoML search raised a fatal exception: {str(exception)}') logger.error("\n".join(traceback)) raise exception
[docs]def log_and_save_error_callback(exception, traceback, automl, **kwargs): """Logs the exception thrown by the AutoMLSearch object as a warning and adds the exception to the 'errors' list in AutoMLSearch object results.""" logger.warning(f'AutoML search encountered an exception: {str(exception)}') logger.warning("\n".join(traceback)) automl._results['errors'].append(exception)
[docs]def raise_and_save_error_callback(exception, traceback, automl, **kwargs): """Raises the exception thrown by the AutoMLSearch object, logs it as an error, and adds the exception to the 'errors' list in AutoMLSearch object results.""" logger.error(f'AutoML search raised a fatal exception: {str(exception)}') logger.error("\n".join(traceback)) automl._results['errors'].append(exception) raise exception
[docs]def log_error_callback(exception, traceback, automl, **kwargs): """Logs the exception thrown as an error. Will not throw. This is the default behavior for AutoMLSearch.""" fold_num = kwargs.get('fold_num') pipeline = kwargs.get('pipeline') trace = "\n".join(traceback) if traceback else "" if isinstance(exception, PipelineScoreError): logger.info(f"\t\t\tFold {fold_num}: Encountered an error scoring the following objectives: {', '.join(exception.exceptions)}.") logger.info(f"\t\t\tFold {fold_num}: The scores for these objectives will be replaced with nan.") trace += f"\n{exception.message}" else: logger.info(f"\t\t\tFold {fold_num}: Encountered an error.") logger.info(f"\t\t\tFold {fold_num}: All scores will be replaced with nan.") logger.info(f"\t\t\tFold {fold_num}: Please check {logger.handlers[1].baseFilename} for the current hyperparameters and stack trace.") logger.info(f"\t\t\tFold {fold_num}: Exception during automl search: {str(exception)}") logger.debug(f"\t\t\tFold {fold_num}: Hyperparameters:\n\t{pipeline.hyperparameters}") logger.debug(f"\t\t\tFold {fold_num}: Traceback:\n{trace}")