class_docstr: Base class for Linear Models
class_docstr_tok: ["Base","class","for","Linear","Models"]
code: def _more_tags(self):  # noqa: R0201  # pylint: disable=no-self-use
      return {"requires_y": True}
  
imports: import numbers
  from abc import ABCMeta, abstractmethod
  from numpy.linalg import LinAlgError
  from sklearn.utils.validation import check_is_fitted, _deprecate_positional_args
  from sklearn.base import MultiOutputMixin
  from ...None import execute
  from ...None import tensor
  from ...tensor.datasource import tensor
  from ..base import BaseEstimator, RegressorMixin, ClassifierMixin
  from ..preprocessing import normalize
  from ..utils.validation import _check_sample_weight, check_array, FLOAT_DTYPES
label_desc: Use image node_id 5 for calling the LinearModel obj's underlying member method code with example usage: obj._more_tags() and returns: dict