python - make_scorer (from sklearn.metrics) for multi-class logarithmic loss -

i got following code root mean squared logarithmic errorl

from sklearn.metrics import make_scorer  def rmsele(actual, pred):     squared_errors = (np.log(pred + 1) - np.log(actual + 1)) ** 2     mean_squared = np.sum(squared_errors) / len(squared_errors)     return np.sqrt(mean_squared)  rmsele_scorer = make_scorer(rmsele, greater_is_better=false) 

i'd have 1 multi-class logarithmic loss. help?