67a43b453833af5990a301ad3496ebb8c0aad889,lifelines/fitters/__init__.py,ParametericAFTRegressionFitter,predict_hazard,#ParametericAFTRegressionFitter#Any#,3355

Before Change

            for c in ancillary.columns.difference(df.columns):
                df[c] = ancillary[c]

        Xs = self.regressors.transform_df(df, to_dataframeslicer=True)

        params_dict = {parameter_name: self.params_.loc[parameter_name].values for parameter_name in self._fitted_parameter_names}

        if conditional_after is None:

After Change

            for c in ancillary.columns.difference(df.columns):
                df[c] = ancillary[c]

        Xs = utils.DataframeSlicer(self.regressors.transform_df(df))

        params_dict = {parameter_name: self.params_.loc[parameter_name].values for parameter_name in self._fitted_parameter_names}

        if conditional_after is None:

Instances