class_docstr: Simply returns the model coefficients as the feature attributions.
  
  This is only for benchmark comparisons and does not approximate SHAP values in a
  meaningful way.
class_docstr_tok: ["Simply","returns","the","model","coefficients","as","the","feature","attributions",".","This","is","only","for","benchmark","comparisons","and","does","not","approximate","SHAP","values","in","a","meaningful","way","."]
code: def attributions(self, X):
      return np.tile(self.model.coef_, (X.shape[0], 1))
  
imports: import numpy
  from .._explainer import Explainer
label_desc: Use image node_id 2 for calling the Coefficient obj's underlying member method code with example usage: obj.attributions(X) and returns: np