code: def evaluate(self, x, y):
      y_pred = self.predict_proba(x)
      return sklearn.metrics.log_loss(y, y_pred)
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  import warnings
  import lore
  import lore.estimators
  from lore.env import require
  from lore.util import timed, before_after_callbacks
  import sklearn
label_desc: Use image node_id 2 for calling the BinaryClassifier obj's underlying member method code with example usage: obj.evaluate(x, y) and returns: sklearn