load_metrics_csv_as_df

daart.eval.load_metrics_csv_as_df(metric_file: str, metrics_list: List[str], expt_ids: List[str] | None = None, test: bool = False) → DataFrame

Load metrics csv file and return as a pandas dataframe for easy plotting.

Parameters:

• metric_file (str) – csv file saved during training

• metrics_list (list) – names of metrics to pull from csv; do not prepend with ‘tr’, ‘val’, or ‘test’

• expt_ids (list, optional) – dataset names for easier parsing

• test (bool, optional) – True to only return test values (computed once at end of training)

Return type:

pandas.DataFrame object