(cls, choosers, chosen_fname, alternatives, cfgname, outcfgname=None)
return lcm
Parameters
        ----------
        choosers : DataFrame
            A dataframe in which rows represent choosers.
        chosen_fname : string
            A string indicating the column in the choosers dataframe which
            gives which alternatives the choosers have chosen.
        alternatives : DataFrame
            A table of alternatives. It should include the choices
            from the choosers table as well as other alternatives from
            which to sample.  Values in choosers[chosen_fname] should index
            into the alternatives dataframe.
        cfgname : string
            The name of the yaml config file from which to read the discrete
            choice model.
        outcfgname : string, optional (default cfgname)
            The name of the output yaml config file where estimation results are written into.

        Returns
        -------
        lcm : MNLDiscreteChoiceModel which was used to fit
Parameters
        ----------
        choosers : DataFrame
            A dataframe in which rows represent choosers.
        chosen_fname : string
            A string indicating the column in the choosers dataframe which
            gives which alternatives the choosers have chosen.
        alternatives : DataFrame
            A table of alternatives. It should include the choices
            from the choosers table as well as other alternatives from
            which to sample.  Values in choosers[chosen_fname] should index
            into the alternatives dataframe.
        cfgname : string
            The name of the yaml config file from which to read the discrete
            choice model.
        outcfgname : string, optional (default cfgname)
            The name of the output yaml config file where estimation results are written into.
Parameters ---------- choosers : DataFrame A dataframe in which rows represent choosers . chosen_fname : string A string indicating the column in the choosers dataframe which gives which alternatives the choosers have chosen . alternatives : DataFrame A table of alternatives . It should include the choices from the choosers table as well as other alternatives from which to sample . Values in choosers [ chosen_fname ] should index into the alternatives dataframe . cfgname : string The name of the yaml config file from which to read the discrete choice model . outcfgname : string optional ( default cfgname ) The name of the output yaml config file where estimation results are written into .
def fit_from_cfg(cls, choosers, chosen_fname, alternatives, cfgname, outcfgname=None):
        """
        Parameters
        ----------
        choosers : DataFrame
            A dataframe in which rows represent choosers.
        chosen_fname : string
            A string indicating the column in the choosers dataframe which
            gives which alternatives the choosers have chosen.
        alternatives : DataFrame
            A table of alternatives. It should include the choices
            from the choosers table as well as other alternatives from
            which to sample.  Values in choosers[chosen_fname] should index
            into the alternatives dataframe.
        cfgname : string
            The name of the yaml config file from which to read the discrete
            choice model.
        outcfgname : string, optional (default cfgname)
            The name of the output yaml config file where estimation results are written into.

        Returns
        -------
        lcm : MNLDiscreteChoiceModel which was used to fit
        """
        logger.debug('start: fit from configuration {}'.format(cfgname))
        lcm = cls.from_yaml(str_or_buffer=cfgname)
        lcm.fit(choosers, alternatives, choosers[chosen_fname])
        lcm.report_fit()
        outcfgname = outcfgname or cfgname
        lcm.to_yaml(str_or_buffer=outcfgname)
        logger.debug('finish: fit into configuration {}'.format(outcfgname))
        return lcm
def fit_from_cfg ( cls , choosers , chosen_fname , alternatives , cfgname , outcfgname = None ) : logger . debug ( 'start: fit from configuration {}' . format ( cfgname ) ) lcm = cls . from_yaml ( str_or_buffer = cfgname ) lcm . fit ( choosers , alternatives , choosers [ chosen_fname ] ) lcm . report_fit ( ) outcfgname = outcfgname or cfgname lcm . to_yaml ( str_or_buffer = outcfgname ) logger . debug ( 'finish: fit into configuration {}' . format ( outcfgname ) ) return lcm