def create_graph_from_data(self, data, **kwargs):
        """Run the PC algorithm.

        Args:
            data (pandas.DataFrame): DataFrame containing the data

        Returns:
            networkx.DiGraph: Solution given by PC on the given data.
       """
        # Building setup w/ arguments.
        self.arguments['{CITEST}'] = self.dir_CI_test[self.CI_test]
        self.arguments['{METHOD_INDEP}'] = self.dir_method_indep[self.method_indep]
        self.arguments['{DIRECTED}'] = 'TRUE'
        self.arguments['{ALPHA}'] = str(self.alpha)
        self.arguments['{NJOBS}'] = str(self.nb_jobs)
        self.arguments['{VERBOSE}'] = str(self.verbose).upper()

        results = self._run_pc(data, verbose=self.verbose)

        return nx.relabel_nodes(nx.DiGraph(results),
                                {idx: i for idx, i in enumerate(data.columns)})
def create_graph_from_data(self, data, **kwargs):
        """Run the PC algorithm.

        Args:
            data (pandas.DataFrame): DataFrame containing the data

        Returns:
            networkx.DiGraph: Solution given by PC on the given data.
       """
        # Building setup w/ arguments.
        self.arguments['{CITEST}'] = self.dir_CI_test[self.CI_test]
        self.arguments['{METHOD_INDEP}'] = self.dir_method_indep[self.method_indep]
        self.arguments['{DIRECTED}'] = 'TRUE'
        self.arguments['{ALPHA}'] = str(self.alpha)
        self.arguments['{NJOBS}'] = str(self.nb_jobs)
        self.arguments['{VERBOSE}'] = str(self.verbose).upper()

        results = self._run_pc(data, verbose=self.verbose)

        return nx.relabel_nodes(nx.DiGraph(results),
                                {idx: i for idx, i in enumerate(data.columns)})
def create_graph_from_data ( self , data , * * kwargs ) : # Building setup w/ arguments. self . arguments [ '{CITEST}' ] = self . dir_CI_test [ self . CI_test ] self . arguments [ '{METHOD_INDEP}' ] = self . dir_method_indep [ self . method_indep ] self . arguments [ '{DIRECTED}' ] = 'TRUE' self . arguments [ '{ALPHA}' ] = str ( self . alpha ) self . arguments [ '{NJOBS}' ] = str ( self . nb_jobs ) self . arguments [ '{VERBOSE}' ] = str ( self . verbose ) . upper ( ) results = self . _run_pc ( data , verbose = self . verbose ) return nx . relabel_nodes ( nx . DiGraph ( results ) , { idx : i for idx , i in enumerate ( data . columns ) } )
Run the PC algorithm.

        Args:
            data (pandas.DataFrame): DataFrame containing the data

        Returns:
            networkx.DiGraph: Solution given by PC on the given data.
Run the PC algorithm .