class_docstr: Benchmarks for Ridge.
class_docstr_tok: ["Benchmarks","for","Ridge","."]
code: def make_estimator(self, params):
      representation, solver = params
  
      estimator = Ridge(
          solver=solver, fit_intercept=False, random_state=0
      )
  
      return estimator
  
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 3 for calling the RidgeBenchmark obj's underlying member method code with example usage: obj.make_estimator(params) and returns: estimator