(self, data, debug=False)
return fit
Fit the model to data and store/return the results.

        Parameters
        ----------
        data : pandas.DataFrame
            Data to use for fitting the model. Must contain all the
            columns referenced by the `model_expression`.
        debug : bool
            If debug is set to true, this sets the attribute "est_data"
            to a dataframe with the actual data used for estimation of
            this model.

        Returns
        -------
        fit : statsmodels.regression.linear_model.OLSResults
            This is returned for inspection, but also stored on the
            class instance for use during prediction.
Fit the model to data and store/return the results.
Fit the model to data and store / return the results .
def fit(self, data, debug=False):
        """
        Fit the model to data and store/return the results.

        Parameters
        ----------
        data : pandas.DataFrame
            Data to use for fitting the model. Must contain all the
            columns referenced by the `model_expression`.
        debug : bool
            If debug is set to true, this sets the attribute "est_data"
            to a dataframe with the actual data used for estimation of
            this model.

        Returns
        -------
        fit : statsmodels.regression.linear_model.OLSResults
            This is returned for inspection, but also stored on the
            class instance for use during prediction.

        """
        with log_start_finish('fitting model {}'.format(self.name), logger):
            fit = fit_model(data, self.fit_filters, self.str_model_expression)

        self.model_fit = fit
        self.fit_parameters = _model_fit_to_table(fit)
        if debug:
            index = util.apply_filter_query(data, self.fit_filters).index
            assert len(fit.model.exog) == len(index), (
                "The estimate data is unequal in length to the original "
                "dataframe, usually caused by nans")
            df = pd.DataFrame(
                fit.model.exog, columns=fit.model.exog_names, index=index)
            df[fit.model.endog_names] = fit.model.endog
            df["fittedvalues"] = fit.fittedvalues
            df["residuals"] = fit.resid
            self.est_data = df
        return fit
def fit ( self , data , debug = False ) : with log_start_finish ( 'fitting model {}' . format ( self . name ) , logger ) : fit = fit_model ( data , self . fit_filters , self . str_model_expression ) self . model_fit = fit self . fit_parameters = _model_fit_to_table ( fit ) if debug : index = util . apply_filter_query ( data , self . fit_filters ) . index assert len ( fit . model . exog ) == len ( index ) , ( "The estimate data is unequal in length to the original " "dataframe, usually caused by nans" ) df = pd . DataFrame ( fit . model . exog , columns = fit . model . exog_names , index = index ) df [ fit . model . endog_names ] = fit . model . endog df [ "fittedvalues" ] = fit . fittedvalues df [ "residuals" ] = fit . resid self . est_data = df return fit