class_docstr: Accessor to ``sklearn.metrics``.
docstr: Call ``sklearn.metrics.precision_recall_curve`` using automatic mapping.
  
  - ``y_true``: ``ModelFrame.target``
  - ``y_probas_pred``: ``ModelFrame.decision``
docstr_tok: ["Call","``","sklearn.metrics.precision_recall_curve","``","using","automatic","mapping",".","-","``","y_true","``",":","``","ModelFrame.target","``","-","``","y_probas_pred","``",":","``","ModelFrame.decision","``"]
code: def precision_recall_curve(self, *args, **kwargs):
      """
      Call ``sklearn.metrics.precision_recall_curve`` using automatic mapping.
  
      - ``y_true``: ``ModelFrame.target``
      - ``y_probas_pred``: ``ModelFrame.decision``
      """
      func = self._module.precision_recall_curve
      return self._curve_wraps(func, *args, **kwargs)
  
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 9 for calling the MetricsMethods obj's underlying member method code with example usage: obj.precision_recall_curve() and returns: self