Loading src/controller.py +10 −2 Changes for src/controller.py: 10 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -128,9 +128,17 @@ def get_controller(**settings) -> BaseEstimator: def feedback(self, X): if self.target == 'temperature': return -X['TempCondIn'] f = -X['TempCondIn'] if np.isnan(f): raise ValueError('TempCondIn is NaN. Could not calculate feedback.') return f else: return - X['PowChi'] - X['PowFanA'] - X['PowFanB'] - X['PowConP'] f = 0. for p in ('PowChi', 'PowFanA', 'PowFanB', 'PowConP'): f -= X[p] if np.isnan(p): raise ValueError('{} is NaN. Could not calculate feedback.'.format(p)) return f def starting_action(self, X): return np.asarray([X['TempWetBulb'] + self.random.uniform(low=4, high=6)]) Loading Loading
src/controller.py +10 −2 Changes for src/controller.py: 10 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -128,9 +128,17 @@ def get_controller(**settings) -> BaseEstimator: def feedback(self, X): if self.target == 'temperature': return -X['TempCondIn'] f = -X['TempCondIn'] if np.isnan(f): raise ValueError('TempCondIn is NaN. Could not calculate feedback.') return f else: return - X['PowChi'] - X['PowFanA'] - X['PowFanB'] - X['PowConP'] f = 0. for p in ('PowChi', 'PowFanA', 'PowFanB', 'PowConP'): f -= X[p] if np.isnan(p): raise ValueError('{} is NaN. Could not calculate feedback.'.format(p)) return f def starting_action(self, X): return np.asarray([X['TempWetBulb'] + self.random.uniform(low=4, high=6)]) Loading