def check_scoring(estimator, scoring=None, allow_none=False):
 has_scoring = (scoring is not None)
 if (not hasattr(estimator, 'fit')):
  raise TypeError(("estimator should be an estimator implementing 'fit' method, %r was passed" % estimator))
 if isinstance(scoring, six.string_types):
  return get_scorer(scoring)
 elif has_scoring:
  module = getattr(scoring, '__module__', None)
  if (hasattr(module, 'startswith') and module.startswith('sklearn.metrics.') and (not module.startswith('sklearn.metrics.scorer')) and (not module.startswith('sklearn.metrics.tests.'))):
   raise ValueError(('scoring value %r looks like it is a metric function rather than a scorer. A scorer should require an estimator as its first parameter. Please use `make_scorer` to convert a metric to a scorer.' % scoring))
  return get_scorer(scoring)
 elif hasattr(estimator, 'score'):
  return _passthrough_scorer
 elif allow_none:
  return None
 else:
  raise TypeError(("If no scoring is specified, the estimator passed should have a 'score' method. The estimator %r does not." % estimator))

def check_scoring ( estimator , scoring = None , allow_none = False ) : has_scoring = ( scoring is not None ) if ( not hasattr ( estimator , 'fit' ) ) : raise TypeError ( ( "estimator should be an estimator implementing 'fit' method, %r was passed" % estimator ) ) if isinstance ( scoring , six . string_types ) : return get_scorer ( scoring ) elif has_scoring : module = getattr ( scoring , '__module__' , None ) if ( hasattr ( module , 'startswith' ) and module . startswith ( 'sklearn.metrics.' ) and ( not module . startswith ( 'sklearn.metrics.scorer' ) ) and ( not module . startswith ( 'sklearn.metrics.tests.' ) ) ) : raise ValueError ( ( 'scoring value %r looks like it is a metric function rather than a scorer. A scorer should require an estimator as its first parameter. Please use `make_scorer` to convert a metric to a scorer.' % scoring ) ) return get_scorer ( scoring ) elif hasattr ( estimator , 'score' ) : return _passthrough_scorer elif allow_none : return None else : raise TypeError ( ( "If no scoring is specified, the estimator passed should have a 'score' method. The estimator %r does not." % estimator ) )
determine scorer from user options .