score = new_score
try:
estimate = model.get(consensual)
+ new_score, consensual = model.score(estimate, distance)
except NP.linalg.LinAlgError:
pass
- estimate = model.get(consensual)
- new_score, consensual = model.score(estimate, distance)
return score, estimate, consensual
def estimate(data, dist, k, modelClass=Linear_model):