INNER CODE UNIT · Python
return_report
aimclub/FEDOT · fedot/api/main.py:523
def return_report(self) -> pd.DataFrame:
""" Function returns a report on time consumption.
The following steps are presented in this report:
- 'Data Definition (fit)': Time spent on data definition in fit().
- 'Data Preprocessing': Total time spent on preprocessing data, includes fitting and predicting stages.
- 'Fitting (summary)': Total time spent on Composing, Tuning and Training Inference.
- 'Composing': Time spent on searching for the best pipeline.
- 'Train Inference': Time spent on training the pipeline found during composing.
- 'Tuning (composing)': Time spent on hyperparameters tuning in the whole fitting, if with_tune is True.
- 'Tuning (after)': Time spent on .tune() (hyperparameters tuning) after composing.
- 'Data Definition (predict)': Time spent on data definition in predict().
- 'Predicting': Time spent on predicting (inference).
"""
report = fedot_composer_timer.report
if self.current_pipeline is None:
raise ValueError(NOT_FITTED_ERR_MSG)