epidemioptim/environments/cost_functions/one_cost_death.py
def sample_goal_params(self):
        """
        Sample goal parameters.

        Returns
        -------
        goal: 1D nd.array
            Made of three params in [0, 1]: beta is the mixing parameter,
            the following are normalized constraints on the maximal values of cumulative costs.

        """
        action = [0,0,0]
        return np.array(action)

        Sample goal parameters.

        Returns
        -------
        goal: 1D nd.array
            Made of three params in [0, 1]: beta is the mixing parameter,
            the following are normalized constraints on the maximal values of cumulative costs.

        
Sample goal parameters.
Returns

1D nd.array
Made of three params in [0, 1]: beta is the mixing parameter,
the following are normalized constraints on the maximal values of cumulative costs.
Sample goal parameters . Returns 1D nd . array Made of three params in [ 0 1 ] : beta is the mixing parameter the following are normalized constraints on the maximal values of cumulative costs .
def sample_goal_params(self):
        action = [0,0,0]
        return np.array(action)
def sample_goal_params ( self ) : action = [ 0 , 0 , 0 ] return np . array ( action )
Sample goal parameters.
Sample goal parameters .
"""
        Sample goal parameters.

        Returns
        -------
        goal: 1D nd.array
            Made of three params in [0, 1]: beta is the mixing parameter,
            the following are normalized constraints on the maximal values of cumulative costs.

        """
self