(self, name, fpath, na_values=None, entity_col=None, src_col=None)
load_data takes the filepath to a CSV file to load as the initial dataset.

        :param name: (str) name to initialize dataset with.
        :param fpath: (str) filepath to CSV file.
        :param na_values: (str) value that identifies a NULL value
        :param entity_col: (st) column containing the unique
            identifier/ID of an entity.  For fusion tasks, rows with
            the same ID will be fused together in the output.
            If None, assumes every row is a unique entity.
        :param src_col: (str) if not None, for fusion tasks
            specifies the column containing the source for each "mention" of an
            entity.
load_data takes the filepath to a CSV file to load as the initial dataset.
load_data takes the filepath to a CSV file to load as the initial dataset .
def load_data(self, name, fpath, na_values=None, entity_col=None, src_col=None):
        """
        load_data takes the filepath to a CSV file to load as the initial dataset.

        :param name: (str) name to initialize dataset with.
        :param fpath: (str) filepath to CSV file.
        :param na_values: (str) value that identifies a NULL value
        :param entity_col: (st) column containing the unique
            identifier/ID of an entity.  For fusion tasks, rows with
            the same ID will be fused together in the output.
            If None, assumes every row is a unique entity.
        :param src_col: (str) if not None, for fusion tasks
            specifies the column containing the source for each "mention" of an
            entity.
        """
        status, load_time = self.ds.load_data(name,
                                              fpath,
                                              na_values=na_values,
                                              entity_col=entity_col,
                                              src_col=src_col)
        logging.info(status)
        logging.debug('Time to load dataset: %.2f secs', load_time)
def load_data ( self , name , fpath , na_values = None , entity_col = None , src_col = None ) : status , load_time = self . ds . load_data ( name , fpath , na_values = na_values , entity_col = entity_col , src_col = src_col ) logging . info ( status ) logging . debug ( 'Time to load dataset: %.2f secs' , load_time )