code: def clone(self):
      return LinearRegressionWithFixedParameter(
          coefficients=self.coefficients, intercept=self.intercept
      )
  
imports: from abc import abstractmethod
  from typing import Any
  import numpy
  import sklearn
  from packaging import version
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import PolynomialFeatures
  from sklearn.ensemble import AdaBoostRegressor, ExtraTreesRegressor, HistGradientBoostingRegressor, RandomForestRegressor
  from sklearn.gaussian_process import GaussianProcessRegressor
  from sklearn.linear_model import ElasticNetCV, LassoCV, LassoLarsIC, LinearRegression, RidgeCV
  from sklearn.neighbors import KNeighborsRegressor
  from sklearn.svm import SVR
  from dowhy.gcm.ml.prediction_model import PredictionModel
  from dowhy.gcm.util.general import auto_apply_encoders, auto_fit_encoders, shape_into_2d
label_desc: Use image node_id 4 for calling the LinearRegressionWithFixedParameter obj's underlying member method code with example usage: obj.clone() and returns: LinearRegressionWithFixedParameter