class_docstr: Accessor to ``sklearn.model_selection``.
class_docstr_tok: ["Accessor","to","``","sklearn.model_selection","``","."]
docstr: Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping.
  
  - ``X``: ``ModelFrame.data``
  - ``y``: ``ModelFrame.target``
docstr_tok: ["Call","``","sklearn.lerning_curve.learning_curve","``","using","automatic","mapping",".","-","``","X","``",":","``","ModelFrame.data","``","-","``","y","``",":","``","ModelFrame.target","``"]
code: def learning_curve(self, estimator, *args, **kwargs):
      """
      Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping.
  
      - ``X``: ``ModelFrame.data``
      - ``y``: ``ModelFrame.target``
      """
      func = self._module.learning_curve
      data = self._data
      target = self._target
      tr_size, tr_score, te_score = func(
          estimator, X=data.values, y=target.values, *args, **kwargs
      )
      return tr_size, tr_score, te_score
  
file_path: pandas-ml/pandas_ml/skaccessors/model_selection.py
imports: import warnings
  import pandas
  from pandas_ml.core.accessor import _AccessorMethods
label_desc: Use image node_id 9 for calling the ModelSelectionMethods obj's underlying member method code with example usage: obj.learning_curve(estimator) and returns: tr_size,  tr_score,  te_score