def get_score(self):
self.outcome = [x for _, x in enumerate(self.Is)]
self.scores = {}
self.scores['SSE'] = RSS(self.outcome, self.CDC_obs, 1)
self.scores['RMSE'] = RMSE(self.CDC_obs, self.outcome, 1)
self.scores['MSPE'] = MSPE(self.CDC_obs, self.outcome, 1)
self.scores['CORR'] = corrcoef(self.CDC_obs, self.outcome, 1)
def get_score(self):
I_mat = as_array(self.Is)
for i, w in enumerate(self.weights):
I_mat[i] *= w
self.IS = sum(I_mat, axis=1)
time_gap = 1 # self.epochs / 52
idx = [x for x in range(self.epochs) if not x % time_gap]
self.score = RSS(self.CDC_obs, self.IS[idx])
self.scores = {}
self.scores['SSE'] = self.score
self.scores['RMSE'] = RMSE(self.CDC_obs, self.IS[idx])
self.scores['MSPE'] = MSPE(self.CDC_obs, self.IS[idx])
self.scores['CORR'] = corrcoef(self.CDC_obs, self.IS[idx])[0, 1]
return self.score