(self)
return pd.DataFrame(master_list)
Concatenate metrics over all epochs.

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

        Returns
        -------
        df : pd.DataFrame
            Each row represents a unique logging sample. Columns are `batch`, `current_time`, `dataloader`, `epoch`,
            `lookback`, `metric`, `model`, `timestamp`, `value`.
        """
        master_list = []  # over all epochs
        for l in self.database.values():
            master_list.extend(l)

        return pd.DataFrame(master_list)
def metrics ( self ) : master_list = [ ] # over all epochs for l in self . database . values ( ) : master_list . extend ( l ) return pd . DataFrame ( master_list )