(self, epoch)
return pd.DataFrame(self.database[epoch])
Results over a specified epoch.

        Returns
        -------
        df : pd.DataFrame
            Each row represents a unique logging sample. Columns are `batch`, `current_time`, `dataloader`, `epoch`,
            `lookback`, `metric`, `model`, `timestamp`, `value`.
Results over a specified epoch.
Results over a specified epoch .
def metrics_per_epoch(self, epoch):
        """Results over a specified epoch.

        Returns
        -------
        df : pd.DataFrame
            Each row represents a unique logging sample. Columns are `batch`, `current_time`, `dataloader`, `epoch`,
            `lookback`, `metric`, `model`, `timestamp`, `value`.
        """
        return pd.DataFrame(self.database[epoch])
def metrics_per_epoch ( self , epoch ) : return pd . DataFrame ( self . database [ epoch ] )