code: def __init__(
      self,
      *,
      fit_intercept=True,
      copy_X=True,
      n_jobs=None,
      positive=False,
  ):
      super().__init__(
          fit_intercept=fit_intercept,
          copy_X=copy_X,
          n_jobs=n_jobs,
          positive=positive,
      )
  
      self._init_shape_X = None
      self._init_shape_y = None
  
imports: from sklearn.decomposition import PCA
  from sklearn.linear_model import LinearRegression
  import geomstats.backend
label_desc: Use image node_id 1 to create a new WrappedLinearRegression object from inherited base classes: LinearRegression with example: obj = WrappedLinearRegression()