GridSearchCV Error on param_grid With RandomForestRegressor

Question

ValueError: Invalid parameter estimator for estimator RandomForestRegressor().
Check the list of available parameters with `estimator.get_params().keys()`.

This is the error i get while using GridSearchCV on a RandomForestRegressor model. Here's the code

%%time 
from sklearn.model_selection import RandomizedSearchCV

rf_grid= {"estimator__n_estimators ": np.arange(10,100,10),
      "estimator__max_depth ": [None,3,5,10],
      "estimator__min_sample_split": np.arange(2,20,2),
      "estimator__min_sample_leaf" : np.arange(1,20,2),
      "estimator__max_features ": [0.5,1,'sqrt','auto'],
      "estimator__max_samples" : [10000]
}
rfr_2=RandomForestRegressor()

rs_model= RandomizedSearchCV(estimator=rfr_2,
                        param_distributions=rf_grid,
                        n_iter=100,
                        cv=5,
                        verbose= True)

rs_model.fit(X_train,Y_train)

Answer 1

So Turns out I'm supposed to use single quotes ' ' instead of double " " .

 %%time 
 from sklearn.model_selection import RandomizedSearchCV

 rf_grid= {'n_estimators': np.arange(10,100,10),
      'max_depth': [None,3,5,10],
      'min_samples_split': np.arange(2,20,2),
      'min_samples_leaf' : np.arange(1,20,2),
      'max_features': [0.5,1,'sqrt','auto'],
      'max_samples' : [100]
  }

  rs_model= RandomizedSearchCV(rfr,
                        param_distributions=rf_grid,
                        n_iter=100,
                        cv=5,
                        verbose= True)
  rs_model.get_params()
  }