def compute_target_weight(self, pred_y, true_y):
x, status = scipy_solve(pred_y, true_y, 3, debug=True)
if status:
x[x < 1e-3] = 0.
return x[-1]
else:
return self.w[-1]
def learn_weights(self, pred_y, true_y):
x, status = scipy_solve(pred_y, true_y, 3, debug=True)
if status:
x[x < 1e-3] = 0.
else:
x = self.w.copy()
return status, x
def learn_source_weights(self, pred_y, true_y):
x, status = scipy_solve(pred_y, true_y, 3, debug=True)
if status:
x[x < 1e-3] = 0.
self.w[:self.K] = x