class_docstr: Benchmarks for ElasticNet.
class_docstr_tok: ["Benchmarks","for","ElasticNet","."]
code: def setup_cache(self):
      super().setup_cache()
  
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 1 for calling the ElasticNetBenchmark obj's underlying member method code with example usage: obj.setup_cache() without return types