class_docstr: Accessor to ``sklearn.linear_model``.
docstr: Call ``sklearn.linear_model.lars_path`` using automatic mapping.
  
  - ``X``: ``ModelFrame.data``
  - ``y``: ``ModelFrame.target``
code: def lars_path(self, *args, **kwargs):
      """
      Call ``sklearn.linear_model.lars_path`` using automatic mapping.
  
      - ``X``: ``ModelFrame.data``
      - ``y``: ``ModelFrame.target``
      """
      func = self._module.lars_path
      data = self._data
      target = self._target
      alphas, active, coefs = func(
          data.values, y=target.values, *args, **kwargs
      )
      coefs = self._constructor(coefs, index=data.columns)
      return alphas, active, coefs
  
file_path: pandas-ml/pandas_ml/skaccessors/linear_model.py
imports: from pandas_ml.core.accessor import _AccessorMethods, _attach_methods, _wrap_data_target_func
label_desc: Use image node_id 3 for calling the LinearModelMethods obj's underlying member method code with example usage: obj.lars_path() and returns: alphas,  active,  coefs