title: How to print the best parameters through GridSearchCV for k-fold cross validation
body: <p>I have used a GridSearch for parameter optimization when predicting values with 10-fold cross validation using sklearn, as shown below,</p>
  
  <pre><code>svr_params = {
     'C': [0.1, 1, 10],
     'epsilon': [0.01, 0.05, 0.1, 0.5, 1],
      }
  
  svr = SVR(kernel='linear', coef0=0.1, shrinking=True, tol=0.001, cache_size=200, verbose=False, max_iter=-1)
  best_svr = GridSearchCV(
      svr, param_grid=svr_params, cv=10, verbose=0, n_jobs=-1)
  
  predicted = cross_val_predict(best_svr, X, y, cv=10)
  </code></pre>
  
  <p>I want to print out the best parameters selected by the GridSearch for <code>C</code> and <code>epsilon</code>. I would really appriate some help. Thanks in advance.</p>