class_docstr: Accessor to ``sklearn.manifold``.
class_docstr_tok: ["Accessor","to","``","sklearn.manifold","``","."]
docstr: Call ``sklearn.manifold.locally_linear_embedding`` using automatic mapping.
  
  - ``X``: ``ModelFrame.data``
docstr_tok: ["Call","``","sklearn.manifold.locally_linear_embedding","``","using","automatic","mapping",".","-","``","X","``",":","``","ModelFrame.data","``"]
code: def locally_linear_embedding(
      self, n_neighbors, n_components, *args, **kwargs
  ):
      """
      Call ``sklearn.manifold.locally_linear_embedding`` using automatic mapping.
  
      - ``X``: ``ModelFrame.data``
      """
      func = self._module.locally_linear_embedding
      y, squared_error = func(
          self._data.values, n_neighbors, n_components, *args, **kwargs
      )
      y = self._constructor(y, index=self._df.index)
      return y, squared_error
  
imports: from pandas_ml.core.accessor import _AccessorMethods
label_desc: Use image node_id 1 for calling the ManifoldMethods obj's underlying member method code with example usage: obj.locally_linear_embedding(n_neighbors, n_components) and returns: y,  squared_error