class_docstr: Accessor to ``sklearn.metrics``.
docstr: Call ``sklearn.metrics.log_loss`` using automatic mapping.
  
  - ``y_true``: ``ModelFrame.target``
  - ``y_pred``: ``ModelFrame.proba``
docstr_tok: ["Call","``","sklearn.metrics.log_loss","``","using","automatic","mapping",".","-","``","y_true","``",":","``","ModelFrame.target","``","-","``","y_pred","``",":","``","ModelFrame.proba","``"]
code: def log_loss(self, *args, **kwargs):
      """
      Call ``sklearn.metrics.log_loss`` using automatic mapping.
  
      - ``y_true``: ``ModelFrame.target``
      - ``y_pred``: ``ModelFrame.proba``
      """
      func = self._module.log_loss
      result = func(
          self._target.values, self._df.proba.values, *args, **kwargs
      )
      return result
  
imports: from pandas_ml.core.accessor import _AccessorMethods, _attach_methods, _wrap_target_pred_func, _wrap_target_pred_noargs
  import pandas_ml.util
label_desc: Use image node_id 8 for calling the MetricsMethods obj's underlying member method code with example usage: obj.log_loss() and returns: result