class_docstr: Benchmarks for Linear Regression.
class_docstr_tok: ["Benchmarks","for","Linear","Regression","."]
code: def make_scorers(self):
      make_gen_reg_scorers(self)
  
imports: from sklearn.linear_model import ElasticNet, Lasso, LinearRegression, LogisticRegression, Ridge, SGDRegressor
  from .common import Benchmark, Estimator, Predictor
  from .datasets import _20newsgroups_highdim_dataset, _20newsgroups_lowdim_dataset, _synth_regression_dataset, _synth_regression_sparse_dataset
  from .utils import make_gen_classif_scorers, make_gen_reg_scorers
label_desc: Use image node_id 4 for calling the LinearRegressionBenchmark obj's underlying member method code with example usage: obj.make_scorers() without return types