code: def test_SVDpp_parameters(u1_ml100k, pkf):
      """Ensure that all parameters are taken into account."""
  
      # The baseline against which to compare.
      algo = SVDpp(n_factors=1, n_epochs=1, random_state=1)
      rmse_default = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
  
      # n_factors
      algo = SVDpp(n_factors=2, n_epochs=1, random_state=1)
      rmse_factors = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_factors
  
      # n_epochs
      algo = SVDpp(n_factors=1, n_epochs=2, random_state=1)
      rmse_n_epochs = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_n_epochs
  
      # lr_all
      algo = SVDpp(n_factors=1, n_epochs=1, lr_all=5, random_state=1)
      rmse_lr_all = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_all
  
      # reg_all
      algo = SVDpp(n_factors=1, n_epochs=1, reg_all=5, random_state=1)
      rmse_reg_all = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_all
  
      # lr_bu
      algo = SVDpp(n_factors=1, n_epochs=1, lr_bu=5, random_state=1)
      rmse_lr_bu = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_bu
  
      # lr_bi
      algo = SVDpp(n_factors=1, n_epochs=1, lr_bi=5, random_state=1)
      rmse_lr_bi = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_bi
  
      # lr_pu
      algo = SVDpp(n_factors=1, n_epochs=1, lr_pu=5, random_state=1)
      rmse_lr_pu = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_pu
  
      # lr_qi
      algo = SVDpp(n_factors=1, n_epochs=1, lr_qi=5, random_state=1)
      rmse_lr_qi = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_qi
  
      # lr_yj
      algo = SVDpp(n_factors=1, n_epochs=1, lr_yj=5, random_state=1)
      rmse_lr_yj = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_lr_yj
  
      # reg_bu
      algo = SVDpp(n_factors=1, n_epochs=1, reg_bu=5, random_state=1)
      rmse_reg_bu = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_bu
  
      # reg_bi
      algo = SVDpp(n_factors=1, n_epochs=1, reg_bi=5, random_state=1)
      rmse_reg_bi = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_bi
  
      # reg_pu
      algo = SVDpp(n_factors=1, n_epochs=1, reg_pu=5, random_state=1)
      rmse_reg_pu = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_pu
  
      # reg_qi
      algo = SVDpp(n_factors=1, n_epochs=1, reg_qi=5, random_state=1)
      rmse_reg_qi = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_qi
  
      # reg_yj
      algo = SVDpp(n_factors=1, n_epochs=1, reg_yj=5, random_state=1)
      rmse_reg_yj = cross_validate(algo, u1_ml100k, ["rmse"], pkf)[
          "test_rmse"
      ]
      assert rmse_default != rmse_reg_yj
  
imports: from surprise import SVD, SVDpp
  from surprise.model_selection import cross_validate
label_desc: Use image node_id 2 for calling a global function with example usage: test_SVDpp_parameters(u1_ml100k, pkf) without return types