cdt/causality/graph/bnlearn.py
def create_graph_from_data(self, data):
        """Run the algorithm on data.

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

        Returns:
            networkx.DiGraph: Solution given by the algorithm.

        """
        # Building setup w/ arguments.
        self.arguments['{SCORE}'] = self.score
        self.arguments['{VERBOSE}'] = str(self.verbose).upper()
        self.arguments['{BETA}'] = str(self.beta)
        self.arguments['{OPTIM}'] = str(self.optim).upper()
        self.arguments['{ALPHA}'] = str(self.alpha)

        results = self._run_bnlearn(data, verbose=self.verbose)
        graph = nx.DiGraph()
        graph.add_edges_from(results)
        return graph
def create_graph_from_data(self, data):
        """Run the algorithm on data.

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

        Returns:
            networkx.DiGraph: Solution given by the algorithm.

        """
        # Building setup w/ arguments.
        self.arguments['{SCORE}'] = self.score
        self.arguments['{VERBOSE}'] = str(self.verbose).upper()
        self.arguments['{BETA}'] = str(self.beta)
        self.arguments['{OPTIM}'] = str(self.optim).upper()
        self.arguments['{ALPHA}'] = str(self.alpha)

        results = self._run_bnlearn(data, verbose=self.verbose)
        graph = nx.DiGraph()
        graph.add_edges_from(results)
        return graph
def create_graph_from_data ( self , data ) : # Building setup w/ arguments. self . arguments [ '{SCORE}' ] = self . score self . arguments [ '{VERBOSE}' ] = str ( self . verbose ) . upper ( ) self . arguments [ '{BETA}' ] = str ( self . beta ) self . arguments [ '{OPTIM}' ] = str ( self . optim ) . upper ( ) self . arguments [ '{ALPHA}' ] = str ( self . alpha ) results = self . _run_bnlearn ( data , verbose = self . verbose ) graph = nx . DiGraph ( ) graph . add_edges_from ( results ) return graph
Run the algorithm on data.

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

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